Title :
Neural network predictive control for induction motor drive using sliding-mode design technique
Author :
Dan, Hu ; Chang, Che ; Jian, Xiao
Author_Institution :
Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu
Abstract :
This paper presents a neural network predictive controller and a sliding-mode speed controller based on a new switching surface for induction motor. First, this paper addresses a new variable structure control, the exponential stability is guaranteed for the speed controller. Moreover, in order to obtain high-performance and more robust, a robust neural network predictive control is utilized to predictive the uncertainty bound in the design of the sliding-mode controller, which is insensitive to uncertainties and disturbances as well. In addition, the effectiveness of the proposed control systems is verified by simulated results
Keywords :
angular velocity control; asymptotic stability; design engineering; induction motor drives; machine vector control; neurocontrollers; predictive control; robust control; variable structure systems; exponential stability; induction motor drive; neural network predictive control; sliding-mode design technique; sliding-mode speed controller; switching surface; variable structure control; Automatic control; Control systems; Induction motor drives; Induction motors; Mechanical variables control; Neural networks; Predictive control; Robust control; Sliding mode control; Uncertainty; Induction motor drive; neural network control; predictive control; variable structure control;
Conference_Titel :
Industrial Technology, 2005. ICIT 2005. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-9484-4
DOI :
10.1109/ICIT.2005.1600750