Peaking free variable structure control of uncertain linear systems based on a high-gain observer

Cunha, José Paulo V. S.; Costa, Ramon R.; Lizarralde, Fernando; Hsu, Liu

doi:10.1016/j.automatica.2008.12.018

Cited by 54 publications

(35 citation statements)

References 23 publications

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“…Among them, field oriented control (FOC) for SPMSM drives has reached industrial application maturity. FOC requires coordinate transforms and space-vector pulse width modulation (SVPWM), through which the flux and torque of AC machines are controlled independently [1][2][3][4][5]. In order to eliminate these requirements, direct torque control (DTC) was proposed as a powerful alternative [6,7].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Park

Wang

2018

Energies

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Abstract:The demand for sensorless control of surface-mounted permanent magnet synchronous motor drives has grown rapidly. Among various sensorless control techniques developed, Matsui's current model-based approach and the extended Kalman filter approach have gained much attention. However, the performance of these control methods can be severely worsened or may even become unstable under strong disturbances or sensing failures. This paper presents a comparative study of the extended Kalman filter, the resilient extended Kalman filter, and the unscented Kalman filter-based sensorless direct torque and flux control approaches for the surface-mounted permanent magnet synchronous motor drives. Computer simulation studies and hardware implementation results have shown the efficiency and superior performance of the resilient extended Kalman filter and the unscented Kalman filter over the traditional extended Kalman filter for sensorless direct torque control applications.

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Section: Introductionmentioning

confidence: 99%

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Park

Wang

2018

Energies

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“…Meanwhile, the peaking problem of high-gain observers has also been addressed by hybrid estimation techniques under the nonlinear separation principle in [20]- [22]. In [20], global output-feedback slide mode control (SMC) was proposed for uncertain linear systems, where the sign function of the SMC component is driven by a high-gain observer, while the sign function gain and other components of the controller are generated by state variable filters such that the peaking responses can be avoided without control saturation.…”

Section: Introductionmentioning

confidence: 99%

“…In [20], global output-feedback slide mode control (SMC) was proposed for uncertain linear systems, where the sign function of the SMC component is driven by a high-gain observer, while the sign function gain and other components of the controller are generated by state variable filters such that the peaking responses can be avoided without control saturation. In [21], the approach in [20] was extended to uncertain time-varying nonlinear systems with the linear growth condition, where a variable-gain observer and a norm state observer were applied to replace the high-gain observer and the state variable filters in [20], respectively. In [22], global output-feedback SMC was presented for time-varying nonlinear systems with strong polynomial nonlinearities, where a high-gain observer, a robust exact differentiator, and a dwell-time technique were combined to resolve the peaking problem.…”

Section: Introductionmentioning

confidence: 99%

Peaking-Free Output-Feedback Adaptive Neural Control Under a Nonseparation Principle

Sun

Huang

2015

IEEE Trans. Neural Netw. Learning Syst.

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High-gain observers have been extensively applied to construct output-feedback adaptive neural control (ANC) for a class of feedback linearizable uncertain nonlinear systems under a nonlinear separation principle. Yet due to static-gain and linear properties, high-gain observers are usually subject to peaking responses and noise sensitivity. Existing adaptive neural network (NN) observers cannot effectively relax the limitations of high-gain observers. This paper presents an output-feedback indirect ANC strategy under a nonseparation principle, where a hybrid estimation scheme that integrates an adaptive NN observer with state variable filters is proposed to estimate plant states. By applying a single Lyapunov function candidate to the entire system, it is proved that the closed-loop system achieves practical asymptotic stability under a relatively low observer gain dominated by controller parameters. Our approach can completely avoid peaking responses without control saturation while keeping favourable noise rejection ability. Simulation results have shown effectiveness and superiority of this approach.

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“…Based on SMC, the authors in [2] investigated the robust adaptive control problem for fuzzy systems with mismatched uncertainties. By using a high-gain observer, an output feedback model-reference variable structure controller is presented in [3] to achieve the global exponential stability with respect to a small residual set without generating peaking in the control signal. In [4], the subordinated reachability of the sliding motion is introduced to realize the control on a class of uncertain stochastic systems with time-varying delays.…”

Section: Introductionmentioning

confidence: 99%

“…To solve this problem, the sliding mode control (SMC) provides a good solution. Up to now, many relevant researches have been carried out [1][2][3][4][5][6][7][8][9][10][11][12][13] . Based on SMC, the authors in [2] investigated the robust adaptive control problem for fuzzy systems with mismatched uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy sliding mode control design for a class of disturbed systems

Wang

Shi

Karimi

2014

Journal of the Franklin Institute

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This paper discusses the problem of the fuzzy sliding mode control for a class of disturbed systems. First, a fuzzy auxiliary controller is constructed based on a feedback signal not only to estimate the unknown control term, but also participates in the sliding mode control due to the fuzzy rule employed. Then, we extend our theory into the cases, where some kind of system information can not be obtained, for better use of our theoretical results in real engineering. Finally, some typical numerical examples are included to demonstrate the effectiveness and advantage of the designed sliding mode controller. © 2013 The Franklin Institute

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Peaking free variable structure control of uncertain linear systems based on a high-gain observer

Cited by 54 publications

References 23 publications

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Peaking-Free Output-Feedback Adaptive Neural Control Under a Nonseparation Principle

Fuzzy sliding mode control design for a class of disturbed systems

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