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基于模糊自适应算法的异步电机矢量控制系统 被引量:6

Asynchronous motor vector control system based on fuzzy adaptive algorithm
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摘要 在异步电机矢量控制系统中,针对常规的PI速度调节器,其参数不能随电机转速变化实时整定的缺点,提出了一种参数可实时自整定的优化设计方法。在分析了交流异步电动机的数学模型和矢量控制系统的基础上,对速度调节器进行了改进,构建了基于模糊自适应PID速度调节器的异步电机矢量控制系统,实现了速度调节器参数的自我调整。所设计的控制器可获得电机转速的无超调、无振荡快速响应,并具有较强的抗扰动能力。仿真结果表明,该控制器有效地提高了系统的动静态特性、鲁棒性和自适应能力,改善了系统的整体控制效能。 In the asynchronous motor vector control system, the parameters of conventional PI speed regulator do not adjust to the change of motor real-time speed. Considering about this, an optimal design method for real-time auto tuning of parameters is proposed. Based on the analysis of AC asynchronous motor mathematical model and vector control system, the speed regulator is improved. Meanwhile, the asynchronous motor vector control system based on fuzzy adaptive PID speed controller is constructed so that the self adjustment of speed regulator parameters can be realized. The speed strategy has fast response without overshoot and oscillation, and improves the anti-disturbance performance. Simulation show that the controller effectively improves the dynamic and static characteristics, robustness and self adaptive ability of the system, as well as the overall system control performance.
出处 《中国民航大学学报》 CAS 2017年第1期47-51,共5页 Journal of Civil Aviation University of China
基金 中央高校基本科研业务费专项(ZXH2012P002)
关键词 矢量控制 模糊自适应算法 PID控制器 MATLAB仿真 vector control fuzzy adaptive algorithm PID controller Matlab simulation
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