The Experts below are selected from a list of 45444 Experts worldwide ranked by ideXlab platform
Liu Jinkun - One of the best experts on this subject based on the ideXlab platform.
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Radial Basis Function Sliding Mode Controller
Computer Simulation, 2004Co-Authors: Liu JinkunAbstract:A sliding mode Controller based on RBFN is presented for high precision flight simulation bed. The control value is divided into a hitting control law and an equivalent control law according to the moving characters of the sliding mode Controller. Equivalent control law is designed to keep the system sliding along the sliding surface. It is approached by a RBFN and the weight of the network is tuned on line using adaptive algorithm to guarantee the probability of the real time control of the system. Hitting control law is applied to drive the representation point everywhere of the state space onto the sliding surface. It is deduced from the hitting condition of the sliding mode Controller and the upper and lower bound parameters must be known. The result of computer simulation demonstrates the robustness and the effectiveness of the proposed algorithm.
Gildas Morvan - One of the best experts on this subject based on the ideXlab platform.
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SUPER-TWISTING SLIDING MODE Controller FOR FREEWAY RAMP METERING
2014Co-Authors: Hirsh Majid, Hassane Abouaïssa, Daniel Jolly, Gildas MorvanAbstract:In this paper we propose a new feedback Controller for freeway ramp metering. It is based on a second order sliding mode technique called super twisting sliding mode Controller (STSMC). It is a simple and robust Controller. It is less sensitive to parameter values and the model uncertainty with less problem of chattering phenomenon compared to the first order sliding mode Controller. And then, this new Controller is compared with a well known feedback Controller for freeway ramp metering called ALINEA. The simulations show a good result of the new Controller for freeway ramp metering. Moreover, compared to ALINEA, the STSMC can cope better the system in term of robustness and uncertainty.
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SUPER-TWISTING SLIDING MODE Controller FOR FREEWAY RAMP METERING
2014Co-Authors: Hirsh Majid, Hassane Abouaïssa, Daniel Jolly, Gildas MorvanAbstract:In this paper we propose a new feedback Controller for freeway ramp metering. It is based on a second order sliding mode technique called super twisting sliding mode Controller (STSMC). It is a simple and robust Controller. It is less sensitive to parameter values and the model uncertainty with less problem of chattering phenomenon compared to the first order sliding mode Controller. And then, this new Controller is compared with a well known feedback Controller for freeway ramp metering called ALINEA. The simulations show a good result of the new Controller for freeway ramp metering. Moreover, compared to ALINEA, the STSMC can cope better the system in term of robustness and uncertainty.
Sajjad Shoja-majidabad - One of the best experts on this subject based on the ideXlab platform.
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Fault tolerant control of wind turbines with an adaptive output feedback sliding mode Controller
Renewable Energy, 2019Co-Authors: Askar Azizi, Hamid Nourisola, Sajjad Shoja-majidabadAbstract:Abstract Wind turbines are developed to generate electrical energy with more efficiency and reliability. Modern fault detection, diagnosis, and accommodation structures are crucial to realize required level of reliability and efficiency for wind turbines. In this paper, a novel active fault tolerant Controller is addressed to control rotor speed and power of a wind turbine in the presence of actuator faults and uncertainties. The proposed Controller is a sliding mode Controller with an integral surface and an adaptive gain which is known as adaptive output feedback sliding mode Controller. An output feedback and a full-order compensator are utilized to shape the integral sliding surface and control law. The full-order compensator is proposed for fault and disturbance attenuation. The control law parameters adjustment and closed-loop system stability are satisfied using linear matrix inequality technique and Lyapunov stability theorem, respectively. Efficiency of the suggested Controller is tested on a 5-MW wind turbine benchmark model in an extreme wind speed profile. In this regard, performance of the proposed strategy is compared with proportional-integral-derivative and disturbance accommodation control techniques. Simulation results show desirable performance and robustness behaviour for the adaptive output feedback integral sliding mode Controller under the healthy and faulty actuator.
Li Sheng-yi - One of the best experts on this subject based on the ideXlab platform.
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Fuzzy sliding mode Controller for servo tracking control in precision machine tools
Control theory & applications, 2003Co-Authors: Li Sheng-yiAbstract:Detail research was given to servo tracking Controller design that utilized the sliding mode control theory in order to achieve robust tracking performance in precision machine tools subject to parameter variations and external disturbance. A type of fuzzy sliding mode Controller was presented by incorporating the fuzzy logic with the sliding mode control to alleviate the chattering of the sliding mode Controller. Experimental results showed that this fuzzy sliding mode Controller had more robustness and better tracking performance than the sliding mode Controller and PID.
Sy Dzung Nguyen - One of the best experts on this subject based on the ideXlab platform.
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Fractional-order Sliding-Mode Controller for semi-active vehicle MRD suspensions
Nonlinear Dynamics, 2020Co-Authors: Sy Dzung NguyenAbstract:Due to the complexly natural attributes of technical systems, reality has been shown that many systems could be modeled more precisely if they are modeled by using fractional calculus and fractional-order differential equations. Inspired by this advantage, in this work a fractional-order derivative-based sliding mode Controller (FD-SMC) for magneto-rheological damper based on semi-active vehicle suspensions (MRD-SAVSs) is proposed to make the states of the given system asymptotically stable in the finite time. To show this assertion, a new estimate result for fractional differential inequality is presented to derive an FD-SMC law for the systems of MRD-SAVS. Then, this corresponding fractional-order sliding mode Controller is designed to provide robustness, high performance control, finite time convergence in the presence of uncertainties and external disturbances. Finally, numerical simulation results are presented to demonstrate the effectiveness of the proposed control method.
