DESIGN OF A ROBUST ADAPTIVE CM AC SYSTEM FOR BLDC MOTORS WITH PI TYPE PARAMETER ADAPTATION

摘要：

The main advantage of cerebellar model articulation controller (CMAC) is its fast learning rate compared to other neural networks since it can provide more potential to enrich the mapping relationship between inputs and outputs. This paper proposes a robust adaptive CMAC system for brushless DC motors with PI type parameter adaptation. CMAC is used to mimic an ideal controller based on the Lyapunov stability theory, and the robust controller is designed to achieve L_2 tracking performance with desiredattenuation level. The robust adaptive CMAC system is implemented on a field programmable gate array chip and is applied to brushless DC (BLDC) motor control. Some experimental results verify that the proposed robust adaptive CMAC method can achieve good parameter adaptation and favorable tracking performance.

关键词： Adaptive control Robust control CMAC BLDC motor Field programmable gate array

作者: CHAO-MING CHUNG CHUN-FEI HSU CHIH-MIN LIN CHIA-YU HSU

作者单位: Department of Electrical Engineering, Yuan Ze University,Chung-Li, Tao-Yuan, 320, Taiwan, Republic o Department of Electrical Engineering, Chung Hua University, Hsinchu, 300, Taiwan, Republic of China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3827-3832

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）