Title :
Study on model-free learning adaptive control in permanent magnet linear motor
Author :
Cao, Rongmin ; Bai, Lianping ; Hou, Zhongsheng
Author_Institution :
Dept. of Autom., Beijing Inst. of Machinery Ind., Beijing
Abstract :
In this paper, the model-free learning adaptive control(MFLAC) approach is applied to permanent magnet linear motor speed and position control, it is based on linearization of tight format of a class of SISO nonlinear discrete-time systems. The design is model-free, based directly on pseudo-partial-derivatives (PPD) on-line from the input and output information of the system using a novel parameter estimation algorithm. Validity and stability are proved for nonlinear systems with vaguely known dynamics by the simulation examples.
Keywords :
adaptive control; discrete time systems; learning systems; linear motors; machine control; nonlinear control systems; permanent magnet motors; position control; velocity control; SISO nonlinear discrete-time systems; model-free learning adaptive control; permanent magnet linear motor; position control; pseudopartial-derivatives; speed control; Adaptive control; Algorithm design and analysis; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Permanent magnet motors; Position control; Programmable control; Stability; Model-free Control Method; Nonlinear System; Permanent Magnet Linear Motor; Stability;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597864
