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作 者:袁沧虎 马立新[1] 周阳[1] YUAN Canghu;MA Lixin;ZHOU Yang(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science & Technology,Shanghai 200093,Chin)
机构地区:[1]上海理工大学光电信息与计算机工程学院,上海200093
出 处:《电力科学与工程》2018年第7期32-37,共6页Electric Power Science and Engineering
基 金:上海市张江国家自主创新重点资助项目(201310-PI-B2-008)
摘 要:永磁同步电机是复杂非线性耦合系统。使用传统PID对其加以控制时,电机运转性能会受自身参数设定限制,并随外部负载变化而波动。将传统PID技术与模糊理论相结合是解决上述问题的有效途径。普通Fuzzy-PID技术因初始论域不能跟随误差变化而伸缩,使系统的控制精度降低。带函数映射型伸缩因子的变论域Fuzzy-PID策略具有普通Fuzzy-PID的优点,同时引入了函数型伸缩因子对论域进行实时调整,大大提升了模糊规则的利用率,使得系统精度得到提高。使用MATLAB建模,对普通Fuzzy-PID与变论域Fuzzy-PID控制下的效果进行了对比。结果表明:变论域Fuzzy-PID控制策略响应速度更快,超调量小,并且当负载发生过大过快改变时,转矩脉动较小,系统恢复时间较短。Permanent magnet synchronous motor( PMSM) has the characteristics of nonlinearity and strong coupling,which makes the performance of the motor affected by the internal and external factors such as system parameters and load disturbance when using the classical PID controller. The combination of traditional PID technology and fuzzy theory is undoubtedly an effective way to solve the above problems. Ordinary fuzzy PID technology cannot expand and contract due to error changes in the initial universe,which makes the system control precision decline. The variable universe fuzzy PID strategy with function mapping scaling factor has the advantages of ordinary fuzzy PID. At the same time,the function scaling factor is introduced to adjust the universe of domains in real time,which greatly improves the utilization of fuzzy rules and improves the system accuracy. Using( 1)MATLAB modeling,the ordinary fuzzy PID and variable universe fuzzy PID is compared. The results show that the variable universe fuzzy PID self-tuning strategy has a faster response speed and a smaller overshoot,and when the load changes too quickly,the torque ripple is small,and the system recovery time is shorter. This strategy has better practicality and application prospect in engineering.
关 键 词:永磁同步电机 变论域模糊PID 伸缩因子 矢量控制
分 类 号:TM921.47[电气工程—电力电子与电力传动]
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