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Huijun Gao - One of the best experts on this subject based on the ideXlab platform.
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a bioinspired dynamics based adaptive tracking control for nonlinear Suspension Systems
IEEE Transactions on Control Systems and Technology, 2018Co-Authors: Huihui Pan, Xingjian Jing, Weichao Sun, Huijun GaoAbstract:This paper investigates the energy-efficiency design of adaptive control for active Suspension Systems with a bioinspired nonlinearity approach. To this aim, a bioinspired dynamics-based adaptive tracking control is proposed for nonlinear Suspension Systems. In many existing techniques, one important effort is used for canceling vibration energy transmitted by Suspension inherent nonlinearity to improve ride comfort. Unlike existing methods, the proposed approach takes full advantage of beneficial nonlinear stiffness and damping characteristics inspired by the limb motion dynamics of biological Systems to achieve advantageous nonlinear Suspension properties with potentially less energy consumption. The stability analysis of the desired bioinspired nonlinear dynamics is conducted within the Lyapunov framework. Theoretical analysis and simulation results reveal that the proposed bioinspired nonlinear dynamics-based adaptive controller has a significant impact on the amount of energy consumption, considering the same basic control method and random excitation of road irregularity for a similar ride comfort performance.
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adaptive tracking control for active Suspension Systems with non ideal actuators
Journal of Sound and Vibration, 2017Co-Authors: Xingjian Jing, Huijun Gao, Weichao Sun, Huihui Pan, Jianyong YaoAbstract:Abstract As a critical component of transportation vehicles, active Suspension Systems are instrumental in the improvement of ride comfort and maneuverability. However, practical active Suspensions commonly suffer from parameter uncertainties (e.g., the variations of payload mass and Suspension component parameters), external disturbances and especially the unknown non-ideal actuators (i.e., dead-zone and hysteresis nonlinearities), which always significantly deteriorate the control performance in practice. To overcome these issues, this paper synthesizes an adaptive tracking control strategy for vehicle Suspension Systems to achieve Suspension performance improvements. The proposed control algorithm is formulated by developing a unified framework of non-ideal actuators rather than a separate way, which is a simple yet effective approach to remove the unexpected nonlinear effects. From the perspective of practical implementation, the advantages of the presented controller for active Suspensions include that the assumptions on the measurable actuator outputs, the prior knowledge of nonlinear actuator parameters and the uncertain parameters within a known compact set are not required. Furthermore, the stability of the closed-loop Suspension system is theoretically guaranteed by rigorous mathematical analysis. Finally, the effectiveness of the presented adaptive control scheme is confirmed using comparative numerical simulation validations.
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finite time stabilization for vehicle active Suspension Systems with hard constraints
IEEE Transactions on Intelligent Transportation Systems, 2015Co-Authors: Huihui Pan, Weichao Sun, Huijun GaoAbstract:This paper presents the problem of finite-time stabilization for vehicle Suspension Systems with hard constraints based on terminal sliding-mode (TSM) control. As we know, one of the strong points of TSM control is its finite-time convergence to a given equilibrium of the system under consideration, which may be useful in specific applications. However, two main problems hindering the application of the TSM control are the singularity and chattering in TSM control Systems. This paper proposes a novel second-order sliding-mode algorithm to soften the switching control law. The effect of the equivalent low-pass filter can be properly controlled in the algorithm based on requirements. Meantime, since the derivatives of term with fractional power do not appear in the control law, the control singularity is avoided. Thus, a chattering-free TSM control scheme for Suspension Systems is proposed, which allows both the chattering and singularity problems to be resolved. Finally, the effectiveness of the proposed approach is illustrated by both theoretical analysis and comparative experiment results.
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reliability control for uncertain half car active Suspension Systems with possible actuator faults
Iet Control Theory and Applications, 2014Co-Authors: Weichao Sun, Huihui Pan, Huijun GaoAbstract:Active Suspension Systems have received increased importance for improving automotive safety and comfort. In active Suspensions, actuators are placed between the car body and wheel-axle, and are able to both add and dissipate energy from the system, which enables the Suspension to control the attitude of the vehicle, to reduce the effects of the vibrations, and then to increase ride comfort and vehicle road handling. However, the attained benefits are paralleled with the increasing possibility of component failures. In this study, a fault-tolerant control approach is proposed to deal with the problem of fault accommodation for unknown actuator failures of active Suspension Systems, where an adaptive robust controller is designed to adapt and compensate the parameter uncertainties, external disturbances and uncertain non-linearities generated by the system itself and actuator failures. Comparative simulation studies are then given to illustrate the effectiveness of the proposed controllers.
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saturated adaptive robust control for active Suspension Systems
IEEE Transactions on Industrial Electronics, 2013Co-Authors: Weichao Sun, Zhengli Zhao, Huijun GaoAbstract:This paper investigates the problem of vibration control in vehicle active Suspension Systems, whose aim is to stabilize the attitude of the vehicle and improve ride comfort. In response to uncertainties in Systems and the possible actuator saturation, a saturated adaptive robust control (ARC) strategy is proposed. Specifically, an antiwindup block is added to adjust the control strategy in a manner conducive to stability and performance preservation in the presence of saturation. Furthermore, the proposed saturated ARC approach is applied to the half-car active Suspension Systems, where nonlinear springs and piecewise linear dampers are adopted. Finally, the typical bump road inputs are considered as the road disturbances in order to illustrate the effectiveness of the proposed control law.
Weichao Sun - One of the best experts on this subject based on the ideXlab platform.
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a bioinspired dynamics based adaptive tracking control for nonlinear Suspension Systems
IEEE Transactions on Control Systems and Technology, 2018Co-Authors: Huihui Pan, Xingjian Jing, Weichao Sun, Huijun GaoAbstract:This paper investigates the energy-efficiency design of adaptive control for active Suspension Systems with a bioinspired nonlinearity approach. To this aim, a bioinspired dynamics-based adaptive tracking control is proposed for nonlinear Suspension Systems. In many existing techniques, one important effort is used for canceling vibration energy transmitted by Suspension inherent nonlinearity to improve ride comfort. Unlike existing methods, the proposed approach takes full advantage of beneficial nonlinear stiffness and damping characteristics inspired by the limb motion dynamics of biological Systems to achieve advantageous nonlinear Suspension properties with potentially less energy consumption. The stability analysis of the desired bioinspired nonlinear dynamics is conducted within the Lyapunov framework. Theoretical analysis and simulation results reveal that the proposed bioinspired nonlinear dynamics-based adaptive controller has a significant impact on the amount of energy consumption, considering the same basic control method and random excitation of road irregularity for a similar ride comfort performance.
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adaptive tracking control for active Suspension Systems with non ideal actuators
Journal of Sound and Vibration, 2017Co-Authors: Xingjian Jing, Huijun Gao, Weichao Sun, Huihui Pan, Jianyong YaoAbstract:Abstract As a critical component of transportation vehicles, active Suspension Systems are instrumental in the improvement of ride comfort and maneuverability. However, practical active Suspensions commonly suffer from parameter uncertainties (e.g., the variations of payload mass and Suspension component parameters), external disturbances and especially the unknown non-ideal actuators (i.e., dead-zone and hysteresis nonlinearities), which always significantly deteriorate the control performance in practice. To overcome these issues, this paper synthesizes an adaptive tracking control strategy for vehicle Suspension Systems to achieve Suspension performance improvements. The proposed control algorithm is formulated by developing a unified framework of non-ideal actuators rather than a separate way, which is a simple yet effective approach to remove the unexpected nonlinear effects. From the perspective of practical implementation, the advantages of the presented controller for active Suspensions include that the assumptions on the measurable actuator outputs, the prior knowledge of nonlinear actuator parameters and the uncertain parameters within a known compact set are not required. Furthermore, the stability of the closed-loop Suspension system is theoretically guaranteed by rigorous mathematical analysis. Finally, the effectiveness of the presented adaptive control scheme is confirmed using comparative numerical simulation validations.
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robust finite time tracking control for nonlinear Suspension Systems via disturbance compensation
Mechanical Systems and Signal Processing, 2017Co-Authors: Xingjian Jing, Huihui Pan, Weichao SunAbstract:Abstract This paper focuses on the finite-time tracking control with external disturbance for active Suspension Systems. In order to compensate unknown disturbance efficiently, a disturbance compensator with finite-time convergence property is studied. By analyzing the discontinuous phenomenon of classical disturbance compensation techniques, this study presents a simple approach to construct a continuous compensator satisfying the finite-time disturbance rejection performance. According to the finite-time separation principle, the design procedures of the nominal controller for the Suspension system without disturbance and the disturbance compensator can be implemented in a completely independent manner. Therefore, the overall control law for the closed-loop system is continuous, which offers some distinct advantages over the existing discontinuous ones. From the perspective of practical implementation, the continuous controller can avoid effectively the unexpected chattering in active Suspension control. Comparative experimental results are presented and discussed to illustrate the advantage and effectiveness of the proposed control strategy.
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finite time stabilization for vehicle active Suspension Systems with hard constraints
IEEE Transactions on Intelligent Transportation Systems, 2015Co-Authors: Huihui Pan, Weichao Sun, Huijun GaoAbstract:This paper presents the problem of finite-time stabilization for vehicle Suspension Systems with hard constraints based on terminal sliding-mode (TSM) control. As we know, one of the strong points of TSM control is its finite-time convergence to a given equilibrium of the system under consideration, which may be useful in specific applications. However, two main problems hindering the application of the TSM control are the singularity and chattering in TSM control Systems. This paper proposes a novel second-order sliding-mode algorithm to soften the switching control law. The effect of the equivalent low-pass filter can be properly controlled in the algorithm based on requirements. Meantime, since the derivatives of term with fractional power do not appear in the control law, the control singularity is avoided. Thus, a chattering-free TSM control scheme for Suspension Systems is proposed, which allows both the chattering and singularity problems to be resolved. Finally, the effectiveness of the proposed approach is illustrated by both theoretical analysis and comparative experiment results.
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reliability control for uncertain half car active Suspension Systems with possible actuator faults
Iet Control Theory and Applications, 2014Co-Authors: Weichao Sun, Huihui Pan, Huijun GaoAbstract:Active Suspension Systems have received increased importance for improving automotive safety and comfort. In active Suspensions, actuators are placed between the car body and wheel-axle, and are able to both add and dissipate energy from the system, which enables the Suspension to control the attitude of the vehicle, to reduce the effects of the vibrations, and then to increase ride comfort and vehicle road handling. However, the attained benefits are paralleled with the increasing possibility of component failures. In this study, a fault-tolerant control approach is proposed to deal with the problem of fault accommodation for unknown actuator failures of active Suspension Systems, where an adaptive robust controller is designed to adapt and compensate the parameter uncertainties, external disturbances and uncertain non-linearities generated by the system itself and actuator failures. Comparative simulation studies are then given to illustrate the effectiveness of the proposed controllers.
Peng Shi - One of the best experts on this subject based on the ideXlab platform.
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fuzzy sampled data control for uncertain vehicle Suspension Systems
IEEE Transactions on Systems Man and Cybernetics, 2014Co-Authors: Xingjian Jing, Hakkeung Lam, Peng ShiAbstract:This paper investigates the problem of sampled-data $H_{\infty}$ control of uncertain active Suspension Systems via fuzzy control approach. Our work focuses on designing state-feedback and output-feedback sampled-data controllers to guarantee the resulting closed-loop dynamical Systems to be asymptotically stable and satisfy $H_{\infty}$ disturbance attenuation level and Suspension performance constraints. Using Takagi-Sugeno (T-S) fuzzy model control method, T-S fuzzy models are established for uncertain vehicle active Suspension Systems considering the desired Suspension performances. Based on Lyapunov stability theory, the existence conditions of state-feedback and output-feedback sampled-data controllers are obtained by solving an optimization problem. Simulation results for active vehicle Suspension Systems with uncertainty are provided to demonstrate the effectiveness of the proposed method.
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fuzzy control of nonlinear electromagnetic Suspension Systems
Mechatronics, 2014Co-Authors: Xiaozhan Yang, Peng ShiAbstract:Owing to its environmental, commercial and technological attractions, the electromagnetic Suspension system [91] has been widely adopted in many real applications. Systems, such as that in high-speed maglev passenger trains [231, 105], levitation of wind tunnel models, levitation of molten metal in induction furnaces, vibration isolation and frictionless bearings, are mostly based on electromagnetic Suspension Systems. Therefore, in this view, electromagnetic Suspension Systems can be regarded as repulsive system or attractive system which is based on the source of electromagnetic levitation forces. Due to the involvement of magnetic force, these kind of Systems are mostly modeled by highly nonlinear differential equations and usually unstable, thus making it difficult when considering controller design. Over the past few years, various controller design schemes have been considered to manipulate electromagnetic Suspension Systems, see for example, [38, 84, 103, 182, 183, 191, 204].
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reliable fuzzy control for active Suspension Systems with actuator delay and fault
IEEE Transactions on Fuzzy Systems, 2012Co-Authors: H Liu, Huijun Gao, Peng ShiAbstract:This paper is focused on reliable fuzzy H∞ controller design for active Suspension Systems with actuator delay and fault. The Takagi-Sugeno (T-S) fuzzy model approach is adapted in this study with the consideration of the sprung and the unsprung mass variation, the actuator delay and fault, and other Suspension performances. By the utilization of the parallel-distributed compensation scheme, a reliable fuzzy H∞ performance analysis criterion is derived for the proposed T-S fuzzy model. Then, a reliable fuzzy H∞ controller is designed such that the resulting T-S fuzzy system is reliable in the sense that it is asymptotically stable and has the prescribed H∞ performance under given constraints. The existence condition of the reliable fuzzy H∞ controller is obtained in terms of linear matrix inequalities (LMIs) Finally, a quarter- vehicle Suspension model is used to demonstrate the effectiveness and potential of the proposed design techniques.
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robust sampled data h_ infty control for vehicle active Suspension Systems
IEEE Transactions on Control Systems and Technology, 2010Co-Authors: Huijun Gao, Weichao Sun, Peng ShiAbstract:This brief investigates the problem of robust sampled-data H ∞ control for active vehicle Suspension Systems. By using an input delay approach, the active vehicle Suspension system with sampling measurements is transformed into a continuous-time system with a delay in the state. The transformed system contains non-differentiable time-varying state delay and polytopic parameter uncertainties. A Lyapunov functional approach is employed to establish the H ∞ performance, and the controller design is cast into a convex optimization problem with linear matrix inequality (LMI) constraints. A quarter-car model is considered in this brief and the effectiveness of the proposed approach is illustrated by a realistic design example.
Huihui Pan - One of the best experts on this subject based on the ideXlab platform.
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a bioinspired dynamics based adaptive tracking control for nonlinear Suspension Systems
IEEE Transactions on Control Systems and Technology, 2018Co-Authors: Huihui Pan, Xingjian Jing, Weichao Sun, Huijun GaoAbstract:This paper investigates the energy-efficiency design of adaptive control for active Suspension Systems with a bioinspired nonlinearity approach. To this aim, a bioinspired dynamics-based adaptive tracking control is proposed for nonlinear Suspension Systems. In many existing techniques, one important effort is used for canceling vibration energy transmitted by Suspension inherent nonlinearity to improve ride comfort. Unlike existing methods, the proposed approach takes full advantage of beneficial nonlinear stiffness and damping characteristics inspired by the limb motion dynamics of biological Systems to achieve advantageous nonlinear Suspension properties with potentially less energy consumption. The stability analysis of the desired bioinspired nonlinear dynamics is conducted within the Lyapunov framework. Theoretical analysis and simulation results reveal that the proposed bioinspired nonlinear dynamics-based adaptive controller has a significant impact on the amount of energy consumption, considering the same basic control method and random excitation of road irregularity for a similar ride comfort performance.
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adaptive tracking control for active Suspension Systems with non ideal actuators
Journal of Sound and Vibration, 2017Co-Authors: Xingjian Jing, Huijun Gao, Weichao Sun, Huihui Pan, Jianyong YaoAbstract:Abstract As a critical component of transportation vehicles, active Suspension Systems are instrumental in the improvement of ride comfort and maneuverability. However, practical active Suspensions commonly suffer from parameter uncertainties (e.g., the variations of payload mass and Suspension component parameters), external disturbances and especially the unknown non-ideal actuators (i.e., dead-zone and hysteresis nonlinearities), which always significantly deteriorate the control performance in practice. To overcome these issues, this paper synthesizes an adaptive tracking control strategy for vehicle Suspension Systems to achieve Suspension performance improvements. The proposed control algorithm is formulated by developing a unified framework of non-ideal actuators rather than a separate way, which is a simple yet effective approach to remove the unexpected nonlinear effects. From the perspective of practical implementation, the advantages of the presented controller for active Suspensions include that the assumptions on the measurable actuator outputs, the prior knowledge of nonlinear actuator parameters and the uncertain parameters within a known compact set are not required. Furthermore, the stability of the closed-loop Suspension system is theoretically guaranteed by rigorous mathematical analysis. Finally, the effectiveness of the presented adaptive control scheme is confirmed using comparative numerical simulation validations.
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robust finite time tracking control for nonlinear Suspension Systems via disturbance compensation
Mechanical Systems and Signal Processing, 2017Co-Authors: Xingjian Jing, Huihui Pan, Weichao SunAbstract:Abstract This paper focuses on the finite-time tracking control with external disturbance for active Suspension Systems. In order to compensate unknown disturbance efficiently, a disturbance compensator with finite-time convergence property is studied. By analyzing the discontinuous phenomenon of classical disturbance compensation techniques, this study presents a simple approach to construct a continuous compensator satisfying the finite-time disturbance rejection performance. According to the finite-time separation principle, the design procedures of the nominal controller for the Suspension system without disturbance and the disturbance compensator can be implemented in a completely independent manner. Therefore, the overall control law for the closed-loop system is continuous, which offers some distinct advantages over the existing discontinuous ones. From the perspective of practical implementation, the continuous controller can avoid effectively the unexpected chattering in active Suspension control. Comparative experimental results are presented and discussed to illustrate the advantage and effectiveness of the proposed control strategy.
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finite time stabilization for vehicle active Suspension Systems with hard constraints
IEEE Transactions on Intelligent Transportation Systems, 2015Co-Authors: Huihui Pan, Weichao Sun, Huijun GaoAbstract:This paper presents the problem of finite-time stabilization for vehicle Suspension Systems with hard constraints based on terminal sliding-mode (TSM) control. As we know, one of the strong points of TSM control is its finite-time convergence to a given equilibrium of the system under consideration, which may be useful in specific applications. However, two main problems hindering the application of the TSM control are the singularity and chattering in TSM control Systems. This paper proposes a novel second-order sliding-mode algorithm to soften the switching control law. The effect of the equivalent low-pass filter can be properly controlled in the algorithm based on requirements. Meantime, since the derivatives of term with fractional power do not appear in the control law, the control singularity is avoided. Thus, a chattering-free TSM control scheme for Suspension Systems is proposed, which allows both the chattering and singularity problems to be resolved. Finally, the effectiveness of the proposed approach is illustrated by both theoretical analysis and comparative experiment results.
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reliability control for uncertain half car active Suspension Systems with possible actuator faults
Iet Control Theory and Applications, 2014Co-Authors: Weichao Sun, Huihui Pan, Huijun GaoAbstract:Active Suspension Systems have received increased importance for improving automotive safety and comfort. In active Suspensions, actuators are placed between the car body and wheel-axle, and are able to both add and dissipate energy from the system, which enables the Suspension to control the attitude of the vehicle, to reduce the effects of the vibrations, and then to increase ride comfort and vehicle road handling. However, the attained benefits are paralleled with the increasing possibility of component failures. In this study, a fault-tolerant control approach is proposed to deal with the problem of fault accommodation for unknown actuator failures of active Suspension Systems, where an adaptive robust controller is designed to adapt and compensate the parameter uncertainties, external disturbances and uncertain non-linearities generated by the system itself and actuator failures. Comparative simulation studies are then given to illustrate the effectiveness of the proposed controllers.
Bin Jiang - One of the best experts on this subject based on the ideXlab platform.
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Adaptive Sensor Fault Detection for Rail Vehicle Suspension Systems
IEEE Transactions on Vehicular Technology, 2019Co-Authors: Min Dong, Bin JiangAbstract:This paper develops an adaptive sensor fault detection scheme for rail vehicle Suspension Systems with uncertain parameters and sensor faults. A parameterized model of the input-to-output description of the rail vehicle Suspension Systems is developed, based on which different parameterized output estimators are constructed to detect different unknown sensor fault patterns. As a representative study, three fault detection estimators are presented using estimation errors between the sensor output and the output estimates. Robust adaptive parameter update laws are used to ensure desired system performance of the output estimators, for the construction of the fault detection scheme. The proposed adaptive detection scheme not only can handle large parameter uncertainties in rail vehicle Suspension system models, but also can check whether sensor fault occurs in rail vehicle Suspension system models or not, and identify the patterns of the sensor faults. Simulation study verifies the effectiveness of the developed adaptive sensor fault detection scheme.
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sensor fault detection for rail vehicle Suspension Systems with disturbances and stochastic noises
IEEE Transactions on Vehicular Technology, 2017Co-Authors: Zehui Mao, Bin Jiang, Yanhao Zhan, Gang Tao, Xinggang YanAbstract:This paper develops a sensor fault detection scheme for rail vehicle passive Suspension Systems, using a fault detection observer, in the presence of uncertain track regularity and vehicle noises that are modeled as external disturbances and stochastic process signals. To design the fault detection observer, the Suspension system states are augmented with the disturbances treated as new states, leading to an augmented and singular system with stochastic noises. Using system output measurements, the observer is designed to generate the needed residual signal for fault detection. Existence conditions for observer design are analyzed and illustrated. In term of the residual signal, both fault detection threshold and fault detectability condition are obtained, to form a systematic detection algorithm. Simulation results on a realistic vehicle system model are presented to illustrate the observer behavior and fault detection performance.
