Title :
Predictive Control Research Based PID Neural Network of Large Ship
Author :
LV, Jin ; GUO, Chen ; Yun-feng Zheng ; Zhi-peng Shen ; YUAN, Shi-chun
Author_Institution :
Dalian Maritime Univ., Dalian
Abstract :
Aiming to the control feature of large delay system like ships, designing a 2-rank derivative multi-step neural network predictive model and the algorithm, and presenting a fuzzy control scheme based on the model with PID neural network and fuzzy CMAC controller, we solve the problems of model online identification and controller online design in traditional adaptive control, so that the high precision output fellow-up control of systems with large delay and uncertain nonlinear features can be realized. Simulation results show that the method had perfect control effect.
Keywords :
adaptive control; cerebellar model arithmetic computers; control system synthesis; delay systems; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; predictive control; ships; three-term control; uncertain systems; adaptive control; controller online design; delay system; fuzzy CMAC controller; fuzzy control scheme; multistep neural network; online identification model; predictive control research; ship PID neural network; uncertain nonlinear features; Algorithm design and analysis; Delay systems; Fuzzy control; Fuzzy neural networks; Marine vehicles; Neural networks; Nonlinear control systems; Predictive control; Predictive models; Three-term control;
Conference_Titel :
Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE
Conference_Location :
Taipei
Print_ISBN :
1-4244-0783-4
DOI :
10.1109/IECON.2007.4459953