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Z. Zheng,W. Sun,H. Chen,J. T. W. Yeow.[en_title][J].Control Theory and Technology,2014,12(2):139~146.[Copy]
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Integral sliding mode based optimal composite nonlinear feedback control for a class of systems
Z.Zheng,W.Sun,H.Chen,J.T.W.Yeow
0
(College of Automation Science and Engineering, South China University of Technology)
摘要:
This paper presents an optimization method of designing the integral sliding mode (ISM) based composite nonlinear feedback (CNF) controller for a class of low order linear systems with input saturation. The optimal CNF control is first designed as a nominal control to yield high tracking speed and low overshoot. The selection of all the tuning parameters for the CNF control law is turned into a minimization problem and solved automatically by particle swarm optimization (PSO) algorithm. Subsequently, the discontinuous control law is introduced to reject matched disturbances. Then, the optimal ISM-CNF control law is achieved as the sum of the optimal CNF control law and the discontinuous control law. The effectiveness of the optimal ISM-CNF controller is verified by comparing with a step by step designed one. High tracking performance is achieved by applying the optimal ISM-CNF controller to the tracking control of the micromirror.
关键词:  Composite nonlinear feedback  Integral sliding mode  Input saturation  PSO  Micromirror
DOI:
Received:February 21, 2014Revised:March 28, 2014
基金项目:
Integral sliding mode based optimal composite nonlinear feedback control for a class of systems
Z. Zheng,W. Sun,H. Chen,J. T. W. Yeow
(College of Automation Science and Engineering, South China University of Technology)
Abstract:
This paper presents an optimization method of designing the integral sliding mode (ISM) based composite nonlinear feedback (CNF) controller for a class of low order linear systems with input saturation. The optimal CNF control is first designed as a nominal control to yield high tracking speed and low overshoot. The selection of all the tuning parameters for the CNF control law is turned into a minimization problem and solved automatically by particle swarm optimization (PSO) algorithm. Subsequently, the discontinuous control law is introduced to reject matched disturbances. Then, the optimal ISM-CNF control law is achieved as the sum of the optimal CNF control law and the discontinuous control law. The effectiveness of the optimal ISM-CNF controller is verified by comparing with a step by step designed one. High tracking performance is achieved by applying the optimal ISM-CNF controller to the tracking control of the micromirror.
Key words:  Composite nonlinear feedback  Integral sliding mode  Input saturation  PSO  Micromirror