Intelligent fractional-order integral sliding mode control for PMSM based on an improved cascade observer  

作　　者：Lingfei XIAO Leiming MA Xinhao HUANG 

机构地区：[1]College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China [2]State Key Laboratory of Fluid Power and Mechatronic Systems,Zhejiang University,Hangzhou 310027,China [3]College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China

出　　处：《Frontiers of Information Technology & Electronic Engineering》2022年第2期328-338,共11页信息与电子工程前沿（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.51876089);the Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems,China(No.GZKF-202005)。

摘　　要：In this paper,an intelligent fractional-order integral sliding mode control(FOISMC)strategy based on an improved cascade observer is proposed.First,an FOISMC strategy is designed to control a permanent magnet synchronous motor.It has good tracking performance,is strongly robust,and can effectively reduce chattering.The proposed FOISMC strategy associates strong points of the integral action(which can eliminate steady-state tracking errors)and the fractional calculus(which is flexible).Second,an improved cascade observer is proposed to detect the rotor information with a smaller observation error.The proposed observer combines an adaptive sliding mode observer and an extended high-gain observer.In addition,an improved variable-speed grey wolf optimization algorithm is designed to enhance controller parameters.The effectiveness of the strategy is tested using simulations and an experiment involving model uncertainty and external disturbance.

关 键 词：Permanent magnet synchronous motor Fractional-order integral sliding mode Optimization algorithm Sensorless control OBSERVER 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程] TN06[电子电信—物理电子学]