Integral sliding mode based optimal composite nonlinear feedback control for a class of systems
Zhou ZHENG
Weijie SUN
Hui CHEN
John T. W. YEOW
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.
机标关键词：nonlinear feedback controlcontrol lawparticle swarm optimizationminimization problemtracking controlinput saturationlinear systemssliding mode
资助基金：National Natural Science Foundation of China(61374036)the Fundamental Research Funds for the Central Universities(SCUT 2014ZM0035)
论文发表日期：2014-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 139-146 )
英文信息