Title :
Nonlinear robust controller tuning based on artificial neural network
Author :
Chen Yafeng ; Li Donghai ; Lao Dazhong
Author_Institution :
Sch. of Aerosp. Eng., Beijing Inst. of Technol., Beijing, China
Abstract :
The tuning method of nonlinear robust controller (NRC) for plants based on artificial neural network (ANN) is proposed, employing the nonlinear mapping features of ANN and ITAE, rise time and overshoot as the control performance criteria. The NRC control tuning rules are verified using Monte-Carlo experiments. The relationship between the parameters and stability of the control system is analyzed.
Keywords :
Monte Carlo methods; control system analysis; neurocontrollers; nonlinear control systems; robust control; tuning; Monte-Carlo experiment; artificial neural network; nonlinear mapping features; nonlinear robust controller; overshoot; rise time; stability; tuning method; Artificial neural networks; Control systems; Electronic mail; Robustness; Stability analysis; Thermal engineering; Tuning; Artificial Neural Network; Monte-Carlo Experiment; Nonlinear Robust Controller; Parameters Tuning;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
