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基于智能优化PID的矢量控制系统

The Vector Control System Based on Ant Colony Optimization
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摘要 针对异步电动机矢量控制系统的速度控制策略,文章提出了蚁群算法参数寻优的矢量控制系统.构造一个按转子磁场定向的转速、磁链闭环控制的矢量控制系统,利用MATLAB/SIMULINK对该矢量控制系统进行仿真研究。仿真实验结果表明该系统较常规PID调节器构成的系统具有更好的动、静态性能和鲁棒性。 In this paper the VC system of optimization PID parameters based on ant colony optimization (ACO) is proposed for speed control strategies of the asynchronous motor vector control system. The VC principle of the asynchronous motor is systematically exhausted. Then,the structures and the realization in SIMULINK of each unit among in the system are expounded in detail. The simulation results show that this system has better dynamic and stable performance, and robustness compared with the system using tradition PID regulator.
出处 《微计算机信息》 北大核心 2006年第12S期137-138,143,共3页 Control & Automation
基金 江苏省高校自然科学基金(05KJB510101)
关键词 异步电机 矢量控制 蚁群算法 群集智能 asynchronous motor, vector control, ant colony optimization, swarm intelligence
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参考文献4

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二级参考文献5

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