Title :
Design of the Nonlinear Predictive Functional Controller for turntable servo system
Author :
Zhang Qian ; Wang Qunjing ; Li Guoli
Author_Institution :
Sch. of Electr. Eng. & Autom., Anhui Univ., Hefei, China
Abstract :
The accurate modeling and precise control are both challenging problems in the control of turntable. In this paper, the global optimization predictive controller based on Nonlinear Predictive Functional Control (NPFC) and Hammerstein model is proposed especially to the servo turntable, using the modified two-step method. One kind of PFC controller, which contains the matrix operation and state space equation, is used to the dynamic linear part of the Hammerstein system. Then a global optimization, is realized by the Genetic Algorithm (GA). In order to apply the above NPFC algorithm, a precise nonlinear Hammerstein model of servo turntable is built though the approach of RLS-PSO parameters identification. The simulation results show the effectiveness of modeling method and control algorithm against the servo system.
Keywords :
control system synthesis; genetic algorithms; nonlinear control systems; predictive control; servomechanisms; state-space methods; Hammerstein system; NPFC algorithm; PFC controller; RLS-PSO parameters identification; control algorithm; dynamic linear part; genetic algorithm; global optimization predictive controller; matrix operation; nonlinear Hammerstein model; nonlinear predictive functional controller design; precise control; servo turntable; state space equation; turntable control; turntable servo system; two-step method; Educational institutions; Mathematical model; Optimization; Prediction algorithms; Predictive models; Servomotors; Hammerstein model; nonlinear predictive functional control; parameter identification; turntable;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
DOI :
10.1109/ICIEA.2014.6931523
