Sliding Mode Control for Mismatched Uncertain Systems Using an Extended Disturbance Observer

Ginoya, Divyesh; Shendge, P. D.; Phadke, S. B.

doi:10.1109/tie.2013.2271597

Cited by 529 publications

(277 citation statements)

References 23 publications

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“…In comparison with other controllers, the simulation result shows that the sliding mode control has advantages of fast response and small errors. In addition, Ginoya D et al design a sliding mode controller using extended disturbance observer for a system with uncertainties in [14] and the closed-loop system has robustness to the uncertainties. Hess RA et al design a slide mode controller for a nonlinear unmanned aerial vehicle in [15], and the controller has a good performance on nonlinear system.…”

Section: Introductionmentioning

confidence: 99%

Quadratic Integral Sliding Mode Control for Nonlinear Harmonic Gear Drive Systems with Mismatched Uncertainties

Ding

Xiao

2018

Mathematical Problems in Engineering

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For a class of nonlinear harmonic gear drive systems with mismatched uncertainties, a novel robust control method is presented on the basis of quadratic integral sliding mode surface, and the closed-loop system has satisfying performance and strong robustness against mismatched uncertainties and nonlinear disturbances. Considering time-varying nonlinear torques and parameters variations which are caused by nonlinear frictions and backlash, a nonlinear harmonic gear drive system mathematic model is established and the effect of nonlinear parts is compensated during control system design. It is proven that the quadratic integral sliding mode surface can be reached in finite time and the closed-loop system is asymptotic stable robustly. The simulation studies are carried out in comparison with traditional linear sliding mode control and integral sliding mode control, verifying the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Quadratic Integral Sliding Mode Control for Nonlinear Harmonic Gear Drive Systems with Mismatched Uncertainties

Ding

Xiao

2018

Mathematical Problems in Engineering

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“…It is also obtained from [24] that e d2 ≤ λ 2 , e d3 ≤ λ 3 , and e d4 ≤ λ 4 , where λ i > 0, for i = 2, 3, 4. It is easily obtained as…”

Section: Control Design and Stability Analysismentioning

confidence: 97%

“…where c 1 > 0, c 2 > 0, and c 3 > 0 are chosen to satisfy the In order to obtain the abovementioned estimates, three nonlinear disturbance observers based on [24] for the IGC models (12), (13), (14), and (15) are designed as follows:…”

Section: Control Design and Stability Analysismentioning

confidence: 99%

New Integrated Guidance and Control of Homing Missiles with an Impact Angle against a Ground Target

Yang

Guo

Zhou

2018

International Journal of Aerospace Engineering

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A new integrated guidance and control (IGC) law is investigated for a homing missile with an impact angle against a ground target. Firstly, a control-oriented model with impact angle error of the IGC system in the pitch plane is formulated by linear coordinate transformation according to the motion kinematics and missile dynamics model. Secondly, an IGC law is proposed to satisfy the impact angle constraint and to improve the rapidity of the guidance and control system by combining the sliding mode control method and nonlinear extended disturbance observer technique. Thirdly, stability of the closed-loop guidance and control system is proven based on the Lyapunov stability theory, and the relationship between the accuracy of the impact angle and the estimate errors of nonlinear disturbances is derived from stability of the sliding mode. Finally, simulation results confirm that the proposed IGC law can improve the performance of the missile guidance and control system against a ground target.

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“…A sliding-mode observer (SMO) has not only better performance of sliding-mode control (SMC), like robustness to disturbances and parameter variations [17][18][19][20][21][22][23][24][25][26][27][28][29], but also provides estimation information of rotor position and speed for the sensorless control system. The dynamic equations of SMO are given based on (4),…”

Section: Iterative Sliding Mode Observermentioning

confidence: 99%

Sliding Mode and Neural Network Control of Sensorless PMSM Controlled System for Power Consumption and Performance Improvement

Wang

Tsai

2017

Energies

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This paper deals with the design of sliding mode control and neural network compensation for a sensorless permanent magnet synchronous motor (PMSM) controlled system that is able to improve both power consumption and speed response performance. The position sensor of PMSM is unreliable in harsh environments. Therefore, the sensorless control technique is widely proposed in industry. A sliding mode observer can estimate the rotor angle and has the robustness to load disturbance and parameter variations. However, the sliding mode observer is not conducive to standstill and low speed conditions because the amplitude of the back EMF is almost zero. As a result, this paper combines an iterative sliding mode observer (ISMO) and neural networks (NNs) as an angle compensator to improve the above problems. A dsPIC30F6010A-based PMSM sensorless drive system is implemented to validate the proposed algorithm. The simulation and experimental results prove its effectiveness.

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Sliding Mode Control for Mismatched Uncertain Systems Using an Extended Disturbance Observer

Cited by 529 publications

References 23 publications

Quadratic Integral Sliding Mode Control for Nonlinear Harmonic Gear Drive Systems with Mismatched Uncertainties

Quadratic Integral Sliding Mode Control for Nonlinear Harmonic Gear Drive Systems with Mismatched Uncertainties

New Integrated Guidance and Control of Homing Missiles with an Impact Angle against a Ground Target

Sliding Mode and Neural Network Control of Sensorless PMSM Controlled System for Power Consumption and Performance Improvement

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