Human-Simulated Intelligent Control Of Brushless DC Motor System

摘要：

A double-loop control system based on human-simulated intelligent control (HSIC) is designed using a mathematical model of a brushless DC motor (BLDCM). In the double-loop motor control system, a conventional PI controller is implemented for the current loop and an HSIC speed controller using the characteristic model-based multi-mode control is adopted for the speed loop. The controller parameters are set and optimized using an improved genetic algorithm (IGA). Compared with the double-loop motor subject to adaptive PID control, fuzzy control, neural-network control and conventional PID control, simulation results show the double-loop motor control system of the HSIC-based BLDCM has high dynamic and static performances as well as high adaptability and robustness.

关键词： human simulated intelligent control brushless DC motor double-loop control system improved genetic algorithm multi-mode control

作者: YANG Hao LI Zu-shu XUE Fang-zheng LUO Gang ZHONG Zao-sheng

作者单位: Institute of Intelligent Automation, Chongqing University, Chongqing 400030 ,China Institute of Intelligent Automation, Chongqing University, Chongqing 400030 ,China Institute of Arti

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 268-273

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）