Adaptive neural speed regulation control for induction motors stochastic nonlinear systems

作者：Liu Lichao; Ma Yumei; Yu Jinpeng; Li Wei; Wang Xiaoling

来源：ICIC Express Letters, Part B: Applications , 2016, 7(8): 1747-1753.

• Backstepping technique
• Bounded in probabilities
• Controller designs
• Speed regulation
• Stochastic nonlinear systems
• Tracking errors

This paper studies the problem of speed regulation control for induction motors stochastic nonlinear system based on neural networks and backstepping technique. During the controller design, neural networks are used to approximate the unknown nonlinearities, and backstepping technique is employed to construct controllers. The proposed controller ensures that all signals of the closed-loop system remain bounded in probability, and the tracking error converges to an arbitrarily small neighborhood around the origin. Simulation results demonstrate the effectiveness of the proposed approach.

• 出版日期2016