永磁同步电机自适应模糊控制方法的研究

发布时间：2018-06-05 23:49

本文选题：永磁同步电机 + 矢量控制　；参考：《兰州交通大学》2014年硕士论文

【摘要】：做为调速系统的执行机构，永磁同步电机因其具有的体积小、效率高、噪声小、转矩电流比高、运行可靠等一系列的优点，在电动汽车、国防、航空设备、机器人等领域被广泛的应用。论文对永磁同步电机的调速方法进行了研究，研究的重点是对系统速度环的控制器进行改进。论文首先建立了永磁同步电机dq轴数学模型，深入研究永磁同步电机矢量控制方法，在此基础上确定并建立了基于id=0的永磁同步电机矢量控制调速方法。其次采用电压空间矢量调制技术建立电流、速度双闭环调速系统。针对传统PI控制中当系统面对控制对象发生变化的情况时无法取得较好的控制效果这一问题，论文将不依赖被控对象的数学模型以及鲁棒性强的模糊控制与传统PI相结合，设计出模糊自适应PI控制器。在Matlab/Simulink环境下，对基于id=0矢量控制的永磁同步电机调速系统分别采用这两种不同的控制器进行仿真实验，实验结果可证，设计的复合控制器较传统PI控制器能够很好的克服系统模型参数的变化以及非线性等不确定因素的影响从而提高系统的动静态性能和鲁棒性。调速过程中，系统会受到各种因素影响，但这些影响因素是不确定的，很大程度上影响了高性能控制的实现。为解决这一问题，论文采用间接型自适应模糊控制器并用李雅谱诺夫综合法对其进行设计，确保了自适应参数可在线调节，以便系统输出可以很好的收敛于参考信号。最后运用Matlab/Simulink及编程对系统进行仿真建模，模拟系统运行过程。仿真结果验证了改进的控制方法克服了传统PI控制理论设计时系统对参数变化及负载扰动敏感等问题，增强了永磁同步电机调速系统的鲁棒性和动静态性能。
[Abstract]:As the actuator of the speed control system, PMSM has a series of advantages such as small size, high efficiency, low noise, high torque / current ratio, reliable operation, etc., in electric vehicles, national defense, aviation equipment, etc. Robots and other fields are widely used. In this paper, the speed regulation method of PMSM is studied, and the emphasis of the research is to improve the controller of the system speed loop. Firstly, the mathematical model of dq-axis of PMSM is established, and the vector control method of PMSM is deeply studied. On this basis, the speed regulation method of PMSM vector control based on id=0 is established. Secondly, the voltage space vector modulation technique is used to establish the current and speed double closed loop speed regulation system. In view of the problem that the system can not achieve better control effect when the control object changes in the traditional Pi control, the paper combines the mathematical model independent of the controlled object and the robust fuzzy control with the traditional Pi. A fuzzy adaptive Pi controller is designed. In the Matlab/Simulink environment, the PMSM speed control system based on id=0 vector control is simulated with these two different controllers, and the experimental results can be verified. Compared with the traditional Pi controller, the designed composite controller can overcome the change of system model parameters and the influence of uncertain factors, such as nonlinearity, so as to improve the dynamic and dynamic performance and robustness of the system. In the process of speed regulation, the system will be affected by a variety of factors, but these factors are uncertain, to a large extent, affect the realization of high performance control. In order to solve this problem, the indirect adaptive fuzzy controller and Lyapunov synthesis method are used to design it, which ensures that the adaptive parameters can be adjusted online, so that the output of the system can converge to the reference signal well. Finally, the system is simulated and modeled by Matlab/Simulink and programming, and the running process of the system is simulated. The simulation results show that the improved control method overcomes the problems of sensitivity to parameter variation and load disturbance in the design of traditional Pi control theory, and enhances the robustness and dynamic and static performance of PMSM speed control system.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM341

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