Title :
Decoupling control for nonlinear coupling systems based on CMAC & PID
Author :
Tang, Yi ; Wang, Runhua
Author_Institution :
Chongqing Univ. of Sci. & Technol., Chongqing, China
Abstract :
In order to actualize decoupling control for nonlinear multivariate coupling system, A multivariate self-adapting decoupling control method based on CMAC and PID was proposed in this studies, and its algorithm was designed in detail. The control strategy utilizes PID controller and CMAC to combine a composite controller. Outputs of multiple same composite controllers are mapped by MIMO linear neural networks into final control actions. Because of characteristics of neural networks, multivariate control system can approach reference model, and the decoupling control aim was achieved. The simulation results show that the strategy realized effectively decoupling control for multivariate coupling system, and is good at anti-disturbance ability and strong in robustness. So the control strategy can realize the decoupling control of the multivariate nonlinear coupling system.
Keywords :
MIMO systems; multivariable control systems; neurocontrollers; nonlinear control systems; three-term control; CMAC neural networks; MIMO linear neural networks; PID controller; anti-disturbance ability; composite controllers; final control actions; multivariate self-adapting decoupling control method; nonlinear multivariate coupling system; Control systems; Couplings; Image analysis; Information analysis; Information systems; Lattices; Nonlinear control systems; Rough sets; Set theory; Three-term control; CMAC neural network; Decoupling control; Nonlinear coupling system; PID;
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
DOI :
10.1109/COGINF.2009.5250722