The Experts below are selected from a list of 198 Experts worldwide ranked by ideXlab platform
T G Habetler - One of the best experts on this subject based on the ideXlab platform.
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high performance induction motor speed control using exact feedback linearization with state and state derivative feedback
IEEE Transactions on Power Electronics, 2004Co-Authors: T K Boukas, T G HabetlerAbstract:This paper presents a novel nonlinear speed/position control strategy for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The speed/position and Flux control loops utilize nonlinear feedback which eliminates the need for tuning, while ordinary proportional-integral controllers are used to control the stator currents. The control scheme is derived in Rotor field coordinates and employs an appropriate estimator for the estimation of the Rotor Flux Angle, Flux magnitude, and their derivatives. The overall control scheme can be easily implemented with a microprocessor-based control platform. An error sensitivity analysis is included which proves the system to be robust to parameter variation and even more, immune to Rotor resistance variation. Simulation and experimental results validate the theoretical part of the paper and reveal the high performance and advantages of the novel control scheme.
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High-performance induction motor speed control using exact feedback linearization with state and state derivative feedback
IEEE 34th Annual Conference on Power Electronics Specialist 2003. PESC '03., 2003Co-Authors: T K Boukas, T G HabetlerAbstract:This paper presents a novel nonlinear speed/position control method for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The control scheme is derived in Rotor field coordinates and employs an appropriate estimator for the estimation of the Rotor Flux Angle, Flux magnitude, and their derivatives. An error sensitivity analysis is included. Simulation and experimental results validate the theoretical part of the paper and reveal the high performance and advantages of the novel control scheme.
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exact feedback linearization with state derivative feedback for high performance field oriented induction motor speed position control
IEEE Industry Applications Society Annual Meeting, 2003Co-Authors: T K Boukas, T G HabetlerAbstract:This paper presents a novel nonlinear speed/position control method for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The control scheme is derived in Rotor field coordinates and employs an appropriate estimator for the estimation of the Rotor Flux Angle, Flux magnitude, and their derivatives. An error sensitivity analysis is included. Simulation and experimental results validate the theoretical part of the paper and reveal the high performance and advantages of the novel control scheme.
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Exact feedback linearization with state derivative feedback for high-performance field-oriented induction motor speed/position control
38th IAS Annual Meeting on Conference Record of the Industry Applications Conference 2003., 2003Co-Authors: T K Boukas, T G HabetlerAbstract:This paper presents a novel nonlinear speed/position control method for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The control scheme is derived in Rotor field coordinates and employs an appropriate estimator for the estimation of the Rotor Flux Angle, Flux magnitude, and their derivatives. An error sensitivity analysis is included. Simulation and experimental results validate the theoretical part of the paper and reveal the high performance and advantages of the novel control scheme.
T K Boukas - One of the best experts on this subject based on the ideXlab platform.
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high performance induction motor speed control using exact feedback linearization with state and state derivative feedback
IEEE Transactions on Power Electronics, 2004Co-Authors: T K Boukas, T G HabetlerAbstract:This paper presents a novel nonlinear speed/position control strategy for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The speed/position and Flux control loops utilize nonlinear feedback which eliminates the need for tuning, while ordinary proportional-integral controllers are used to control the stator currents. The control scheme is derived in Rotor field coordinates and employs an appropriate estimator for the estimation of the Rotor Flux Angle, Flux magnitude, and their derivatives. The overall control scheme can be easily implemented with a microprocessor-based control platform. An error sensitivity analysis is included which proves the system to be robust to parameter variation and even more, immune to Rotor resistance variation. Simulation and experimental results validate the theoretical part of the paper and reveal the high performance and advantages of the novel control scheme.
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High-performance induction motor speed control using exact feedback linearization with state and state derivative feedback
IEEE 34th Annual Conference on Power Electronics Specialist 2003. PESC '03., 2003Co-Authors: T K Boukas, T G HabetlerAbstract:This paper presents a novel nonlinear speed/position control method for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The control scheme is derived in Rotor field coordinates and employs an appropriate estimator for the estimation of the Rotor Flux Angle, Flux magnitude, and their derivatives. An error sensitivity analysis is included. Simulation and experimental results validate the theoretical part of the paper and reveal the high performance and advantages of the novel control scheme.
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exact feedback linearization with state derivative feedback for high performance field oriented induction motor speed position control
IEEE Industry Applications Society Annual Meeting, 2003Co-Authors: T K Boukas, T G HabetlerAbstract:This paper presents a novel nonlinear speed/position control method for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The control scheme is derived in Rotor field coordinates and employs an appropriate estimator for the estimation of the Rotor Flux Angle, Flux magnitude, and their derivatives. An error sensitivity analysis is included. Simulation and experimental results validate the theoretical part of the paper and reveal the high performance and advantages of the novel control scheme.
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Exact feedback linearization with state derivative feedback for high-performance field-oriented induction motor speed/position control
38th IAS Annual Meeting on Conference Record of the Industry Applications Conference 2003., 2003Co-Authors: T K Boukas, T G HabetlerAbstract:This paper presents a novel nonlinear speed/position control method for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The control scheme is derived in Rotor field coordinates and employs an appropriate estimator for the estimation of the Rotor Flux Angle, Flux magnitude, and their derivatives. An error sensitivity analysis is included. Simulation and experimental results validate the theoretical part of the paper and reveal the high performance and advantages of the novel control scheme.
Mihai Comanescu - One of the best experts on this subject based on the ideXlab platform.
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Sensorless observers with speed estimate for direct field orientation of induction motor and PMSM drives
International Journal of Power Electronics, 2020Co-Authors: Mihai ComanescuAbstract:The paper discusses the problem of sensorless Rotor position/Rotor Flux Angle estimation for the permanent magnet synchronous motor (PMSM) and for the induction motor (IM) and presents a family of sensorless observer designs that use a speed estimate. In sensorless field-oriented AC drive control, it is typical to measure the motor’s voltages and currents and to estimate the other quantities of interest: speed, Fluxes (or EMFs) and the field orientation Angle. The simultaneous estimation of these quantities is possible, however, the methods available are rather complicated and the accuracy is often questionable, especially under parameter variations. The paper proposes a sequential estimation approach which is much simpler: first, estimate the drive’s speed; then, use this speed estimate along with the measurements to estimate the states of the motor model and to obtain the field orientation Angle. A family of observers for the IM and the PMSM is presented – these are constructed using the respective moto...
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Design of a MRAS-based estimator for the speed and Rotor time constant of the induction motor using sliding mode
2016 International Symposium on Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2016Co-Authors: Mihai ComanescuAbstract:The paper presents a method to estimate the Fluxes, speed and Rotor time constant of the induction motor (IM) drive. The estimation process is based on the model of the motor in the stationary reference frame. Estimation is done using successive observers that also involve the Model Reference Adaptive System (MRAS) principle. The Fluxes are obtained first using a Voltage Model Observer - they are used to calculate the Rotor Flux Angle of the drive. With known Fluxes, the paper attempts to design a sliding mode observer for simultaneous estimation of the speed, load torque and Rotor time constant. The mathematics of the observer is presented; it is shown that, due to singularity in the required gain design, an asymptotically stable observer cannot be obtained. Then, the paper presents an observer for the Rotor time constant - this takes the speed signal as an input. The properties of this observer are investigated and it is shown how to make it less sensitive to the potential inaccuracy in the speed input. The method can be used in a sensorless IM control implementation where the Fluxes and speed are required and where knowledge of the Rotor time constant improves the control performance. The theoretical claims are supported by the simulation results shown.
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An MRAS-type estimator for the speed, Flux magnitude and Rotor Flux Angle of the induction motor using sliding mode
2014 International Symposium on Power Electronics Electrical Drives Automation and Motion, 2014Co-Authors: Mihai ComanescuAbstract:The paper discusses the problem of estimating the speed, the Flux magnitude and the Rotor Flux Angle of the induction motor (IM) and presents an estimation method based on two Sliding Mode Observers (SMOs) and the Model Reference Adaptive System (MRAS) technique. The method is based on implementation of two SMOs that both yield the magnitude of the Rotor Flux; one observer is the reference model, the other is the adjustable model. The MRAS method is used to adapt the speed signal which is an input into both SMOs. The reference model is designed using the equations of the IM in the rotating reference frame. It is shown that its estimated Flux magnitude is insensitive to the input speed. The adjustable model uses the IM equations in the stationary reference frame. Its output Fluxes have magnitudes inverse proportional with the input speed; however, their phases are always accurate (this allows estimation of the Flux Angle). Using MRAS, the speed is corrected such that the Flux magnitudes coming out of the two models match. Based on the structure developed, the paper also a speed estimation method. The simulations validate the theoretical development.
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Single and double compound manifold sliding mode observers for Flux and speed estimation of the induction motor drive
IET Electric Power Applications, 2014Co-Authors: Mihai ComanescuAbstract:The study discusses the problem of speed and Flux estimation for the induction motor (IM) drive and presents the design of two sliding mode observers (SMO) with compound manifolds. Both observers are developed using the IM model in the stationary reference frame. The first observer is a single-manifold SMO - it estimates the motor Fluxes and yields an approximate value of the speed; however, it is not a converging observer. The single-manifold design is transformed into a double-manifold observer by adding extra feedback terms - this leads to a fully convergent observer that also yields an accurate estimate of the speed. The observers are designed using compound manifolds, which are chosen as a combination of the estimated Fluxes and current mismatches. Observers with compound manifolds have been rarely investigated because they cannot be designed using a standard procedure; however, they are shown to have interesting properties. Observer uniqueness is also discussed. The methods proposed are suited to a sensorless IM drive control algorithm where the speed, the Flux magnitude and the Rotor Flux Angle are needed. The theoretical developments are supported with simulations and experiments.
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Design of Sliding Mode observers with single compound manifolds for state estimation of the induction motor drive
2013 IEEE 10th International Conference on Power Electronics and Drive Systems (PEDS), 2013Co-Authors: Mihai ComanescuAbstract:The paper discusses the problem of state/Rotor Flux Angle estimation for the induction motor (IM) drive and presents a series of Sliding Mode (SM) observers that are constructed using compound manifolds. The observers use the model of the IM in the stationary reference frame - their behavior and estimation properties are discussed. Observers with compound manifolds have not been widely investigated because they cannot be designed using a standard procedure; however, they have interesting properties. The paper shows candidate manifolds and explains the approach for designing IM observers with compound manifolds. A class of observers and their versions are presented. In the paper, several sensored SM observers are presented first. Then, it is attempted to transform them into sensorless observers by replacing the measured speed with a speed estimate (which is assumed inaccurate). The paper finds a certain design has desirable properties - using an improper speed value, its estimated Fluxes are in phase with the real Fluxes. Using direct field orientation, the Rotor Flux Angle obtained is accurate and this can be used for sensorless field orientation.
D. Dawson - One of the best experts on this subject based on the ideXlab platform.
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An improved indirect field-oriented controller for the induction motor
IEEE Transactions on Control Systems Technology, 2003Co-Authors: A. Behal, M. Feemster, D. DawsonAbstract:In this paper, the standard indirect field-oriented controller (IFOC) commonly used in current-fed induction motor drives is modified to achieve global exponential Rotor velocity/Rotor Flux tracking. The modifications to the IFOC scheme, which involve the injection of nonlinear terms into the current control input and the so-called desired Rotor Flux Angle dynamics, facilitate the construction of a standard Lyapunov stability argument. The construction of a standard Lyapunov exponential stability argument allows one to easily design adaptive controllers to compensate for parametric uncertainty associated with the mechanical load. Simulation results are included to illustrate the improvement in performance over the standard IFOC scheme.
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An improved indirect field oriented controller for the induction motor
Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328), 1999Co-Authors: A. Behal, M. Feemster, D. Dawson, D. HasteAbstract:We illustrate how the standard indirect field oriented controller (IFOC) commonly used in current-fed induction motor drives can be modified to achieve global exponential Rotor velocity/Rotor Flux tracking. The modifications to the IFOC scheme, which involve the injection of nonlinear terms into the current control input and the so-called desired Rotor Flux Angle dynamics, facilitate the construction of a standard Lyapunov stability argument. The construction of a standard Lyapunov exponential stability argument allows one to easily design adaptive controllers to compensate for parametric uncertainty associated with the mechanical load.
Jia-ming Chen - One of the best experts on this subject based on the ideXlab platform.
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Sensorless IPMSM Drive System Using Saliency Back-EMF-Based Intelligent Torque Observer With MTPA Control
IEEE Transactions on Industrial Informatics, 2014Co-Authors: Ying-chih Hung, Jia-ming ChenAbstract:A saliency back-electromotive force (EMF)-based wavelet fuzzy neural network (WFNN) torque observer using a new maximum torque per ampere (MTPA) control is proposed in this study to improve the speed estimating performance of a sensorless interior permanent magnet synchronous motor (IPMSM) drive system. First, the characteristics and mathematical model of the saliency back-EMF-based proportional-integral-derivative (PID) torque observer with the mechanical model-based phase-lock-loop (PLL) for the estimation of the Rotor Flux Angle and speed of the IPMSM are discussed. Then, a new saliency back-EMF-based MTPA control suitable for the implementation using digital signal processor (DSP) is introduced. Moreover, the saliency back-EMF-based Rotor Flux Angle and speed estimation method using WFNN torque observer is proposed. Furthermore, detailed network structure and online learning algorithms of WFNN are described. Finally, the feasibility of the proposed control schemes is verified through experimental results.
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Sensorless Inverter‐Fed Compressor Drive System Using Back‐EMF Estimator with PIDNN Torque Observer
Asian Journal of Control, 2013Co-Authors: Ying-chih Hung, Jia-ming ChenAbstract:A saliency back-EMF estimator with a proportional–integral–derivative neural network (PIDNN) torque observer is proposed in this study to improve the speed estimating performance of a sensorless interior permanent magnet synchronous motor (IPMSM) drive system for an inverter-fed compressor. The PIDNN torque observer is proposed to replace the conventional proportional–integral–derivative (PID) torque observer in a saliency back-EMF estimator to improve the estimating performance of the Rotor Flux Angle and speed. The proposed sensorless control scheme use square-wave type voltage injection method as the start-up strategy to achieve sinusoidal starting. When the motor speed gradually increases to a preset speed, the sensorless drive will switch to the conventional saliency back-EMF estimator using the PID observer or the proposed saliency back-EMF estimator using the PIDNN observer for medium and high speed control. The theories of the proposed saliency back-EMF Rotor Flux Angle and speed estimation method are introduced in detail. Moreover, the network structure, the online learning algorithms and the convergence analyses of the PIDNN are discussed. Furthermore, a DSP-based control system is developed to implement the sensorless inverter-fed compressor drive system. Finally, some experimental results are given to verify the feasibility of the proposed estimator.
