【作者】 滕德红；

【导师】 王宏华；

【作者基本信息】 河海大学 ， 控制理论与控制工程， 2003， 硕士

【摘要】 本课题结合导师在研项目——国家自然科学基金资助项目(59977005)“开关磁阻电动机非线性振动理论及控制策略研究”进行。以建立开关磁阻电机(SR电机)调速系统的动态非线性仿真模型为主，在此基础上研究SR电机模糊控制设计。 本文在分析SR电机线性、准线性、非线性模型的基础上建立了四相(8/6极)SR电机调速系统(SRD)动态线性、非线性仿真模型，分别对电流斩波控制方式(CCC)与角度位置控制方式(APC)下SR电机相电流、一相转矩、合成转矩及角速度进行了仿真。 本文以提高SRD动、静态性能为指标，研究了如下几种改进模糊控制的方法：(1)串联或并联积分器以提高静态精度；(2)利用神经网络记忆模糊控制规则；(3)Bang-Bang控制与模糊控制结合；(4)在线调整量化因子与比例因子。本文将改进的模糊控制结合已经建立的SRD仿真模型进行了系统仿真。 最后，本文基于80C196单片机进行了SR电机模糊控制系统的软、硬件设计。更多还原

【Abstract】 This subject is studied according to advisor’s project "The theory of switched reluctance motor nonlinear vibration and the research of control strategy ",which is supported by the National Natural Science Fund(59977005). This paper puts emphasis on dynamic simulation based on switched reluctance drivers’s (SRD’s) nonlinear model, and study of fuzzy control for SRD.Based on switched reluctance motor’s linear, nonlinear model, the dynamic simulation model of SRD’s is built respectively. The phase current, phase torque , total torque and speed of SRM in current chopping control(CCC) and angular position control(APC) are calculated respectively with this simulation.Some methods, such as adding integrator; making use of neural network to remember fuzzy rule; utilizing Bang-Bang controller and adjusting scale and proportion factors online, are researched to modify normal fuzzy controller for optimizing SRD’s dynamic and static performance. The simulation results given in this paper show the SRD with modified fuzzy controller has excellent performance.At last, a direct digital control system of SRM with fuzzy logic controller is designed, which uses 80C196 single chip micro controller.更多还原