【作者】 赖重平；

【导师】 李春茂；

【作者基本信息】 西南交通大学 ， 电工理论与新技术， 2009， 硕士

【摘要】 论文首先介绍了永磁同步电机系统的数学模型,介绍了空间矢量脉宽调制(SVPWM)和电流滞环跟踪PWM(CHBPWM)的基本原理,并在MATLAB/SIMULINK环境下构建了基于SVPWM和CHBPWM的永磁同步电机交流伺服控制系统的仿真模型,并对仿真结果进行了比较。永磁同步电机是具有非线性、强耦合性、时变性的系统。并且在运行过程中还要受到负载扰动等因素影响。PID控制由于算法简单、可靠性高,广泛应用于运动控制中。但当对控制对象难以确定精确的数学模型,模型的结构和参数在很大范围内变化或者控制复杂的非线性系统时,传统的控制策略将难以满足控制性能要求,模糊控制就成为了有力工具。本文设计了两种模糊控制器,将其应用到永磁同步电机矢量控制系统中,建立了系统模型并对其进行了仿真研究,并与传统的双闭环PI控制系统仿真结果进行了对比。仿真结果表明,模糊控制提高了控制系统稳定性、控制精度和快速性。神经网络具有很强的自学习能力、非线性映射能力、联想记忆能力、鲁棒性和容错能力。能适应存在不确定性、时变性系统的控制。针对传统PI控制永磁同步电机调速系统性能的不足,本文设计了单神经元PI控制器和神经网络控制器,将它们应用到永磁同步电机矢量控制系统速度环并进行了仿真分析,结果表明,采用单神经元PI控制和神经网络控制提高了控制系统稳定性、控制精度和快速性。更多还原

【Abstract】 The mathematical model of AC PMSM (Permanent Magnet Synchronous Motor) is introduced, and then introduces the principles of SVPWM (Space Vector Pulse Width Modulation) and CHBPWM (Current Hysteresis Band PWM). Simulation models of PMSM AC servo system based on SVPWM and CHBPWM are built in MATLAB/SIMULINK, and simulation results are compared.The permanent magnet synchronous motor is a non-linear, strong-coupling and time-variable system, and during operation it will be disturbed more or less by factors such as load disturbance.PID control algorithm is simple, reliable, so it is widely used in motion control. However, it is limited to achieve the desired control effect in situations such as precise mathematical model of the control object is difficult to be built, or model structure and parameters change in a large range or the control object is complex non-linear system. As a result, fuzzy control becomes a good choice.Two fuzzy control strategies are presented for speed control of PMSM vector control system, and simulation models are built. Compared with conventional PI control, simulation results show that the presented scheme improves stability, control accuracy and response speed of the control system.The neural network has some excellent abilities such as self-learning, nonlinear mapping, and associative memory; also it has fine fault-tolerant capability and robustness. Algorithm based on the neural network has a promising potential use in control systems which have uncertainty and time-variation.Speed loop of PMSM vector control system based on single neuron PI controller and neural network controller are designed to overcome the shortcomings of traditional PI controller in speed loop of PMSM vector control system. Simulation results show that the single neuron PI controller and neural network controller improve stability, control accuracy and response speed of the control system.更多还原