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基于模糊分数阶PID的开关磁阻电机直接瞬时转矩控制 被引量:17

Direct instantaneous torque control of a switched reluctance motor based on fuzzy fractional order PID
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摘要 针对开关磁阻电机直接瞬时转矩控制系统,引入分数阶积分与分数阶微分和二维模糊控制器结合,设计模糊分数阶PID转速外环控制器,提出了基于模糊分数阶PID的开关磁阻电机直接瞬时转矩控制。引入分数阶积分可提高系统的稳态精度,削弱积分饱和引起的大超调;运用分数阶微分解决原一阶微分易受高频干扰的缺点,提高系统的动态性能;基于RBF神经网络设计了PID转矩内环控制器,适应开关磁阻电机的非线性,实现转矩的双闭环跟踪控制。通过仿真表明:设计的模糊分数阶PID转速外环控制器能有效减小开关磁阻电机转矩脉动,系统快速达到稳态,动态性能良好,适应性强。 Aiming at the direct instantaneous torque control system of a switched reluctance motor,a fuzzy fractional order PID control strategy was proposed here.Fractional integral and fractional differential were introduced into the two-dimensional fuzzy controller to design a fuzzy fractional order PID rotating speed outer loop controller.The fractional integral was used to improve the steady-state precision of the system and weaken the large overshoot caused by the integral saturation.The fractional differential was employed to overcome the shortcoming of the first order differential being easy to be disturbed by high-frequency interferences and improve the dynamic performance of the system.The PID torque inner loop controller was designed based on the RBF neural network to adapt to the nonlinearity of the switched reluctance motor,and realize the torque’s dual-closed loop tracking control.The simulation results showed that the proposed fuzzy fractional order PID rotating speed outer loop controller can effectively reduce the torque ripple of the switched reluctance motor to make the system quickly reach steady state with good dynamic performance and strong adaptability.
作者 党选举 彭慧敏 姜辉 伍锡如 DANG Xuanju;PENG Huimin;JIANG Hui;WU Xiru(School of Electronic and Automation,Guilin University of Electronic Technology, Guilin541004,China)
出处 《振动与冲击》 EI CSCD 北大核心 2018年第23期104-110,共7页 Journal of Vibration and Shock
基金 国家自然科学基金项目(61863007 61863008) 广西信息科学试验中心项目(20130110) 广西自然科学基金(2016GXNSFDA380001 2015GXNSFAA139297)
关键词 分数阶积分与分数阶微分 开关磁阻电机 直接瞬时转矩控制 模糊分数阶PID RBF神经网络 fractional integral and fractional differential switched reluctance motor direct instantaneous torque control fuzzy fractional order PID RBF neural network
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