内置式永磁同步电机模糊PI弱磁算法研究

发布时间：2018-02-24 12:47

本文关键词： 内置式永磁同步电机矢量控制弱磁控制模糊控制　出处：《湖南工业大学》2015年硕士论文　论文类型：学位论文

【摘要】：内置式永磁同步电机由于具有高功率密度、高可靠性和高效率等特点而广受关注,但在弱磁控制运行过程中,由于电枢反应导致的参数变化使得转矩和速度波动加大。模糊控制有利于提高系统的稳定性且不依赖系统参数,本文将模糊控制引入到内置式永磁同步电机弱磁控制系统中,设计参数自整定模糊PI调节器,构建内置式永磁同步电机模糊PI弱磁新型算法,提高系统的稳态特性和抗干扰能力。通过分析内置式永磁同步电机结构特征建立了数学模型,介绍了矢量控制和弱磁控制的基本原理。研究了电枢反应对电机主要参数的影响,进而分析考虑参数变化的内置式永磁同步电机弱磁特性。搭建了内置式永磁同步电机传统PI弱磁算法仿真模型,通过对比不同负载干扰条件下仿真结果,仿真实验表明传统PI弱磁控制系统转矩和转速有较大的扰动和过冲,系统稳态特性和抗干扰性能较差。将模糊逻辑理论与PI策略相结合,设计了参数自整定模糊PI调节器,代替速度环和电流环上传统固定增益PI调节器,构建了模糊PI弱磁算法,使系统能够根据实时工况在线调整PI参数。搭建了内置式永磁同步电机模糊PI弱磁控制仿真模型,通过对比不同负载干扰条件下模糊PI弱磁算法与传统PI弱磁算法仿真结果,仿真实验表明,模糊PI弱磁算法与传统PI弱磁算法相比在转矩稳定度上提高了9%,在速度稳定度上提高了2%,在电流稳定度上提高了10%,转矩和转速波动得到了明显抑制,因此模糊控制能够提高系统的稳态特性和抗干扰性能。基于STM32硬件调速平台设计了内置式永磁同步电机弱磁调速系统软件算法,通过对比不同负载干扰条件下弱磁实验结果,实验结果表明系统具有很好的稳态特性和较强的抗干扰能力,达到理论设计指标,具有较强的工业应用能力。
[Abstract]:Built-in permanent magnet synchronous motor (PMSM) has attracted much attention because of its high power density, high reliability and high efficiency. Due to the variation of parameters caused by armature reaction, torque and velocity fluctuations are increased. Fuzzy control is beneficial to improve the stability of the system and does not depend on the system parameters. In this paper, fuzzy control is introduced into the built-in permanent magnet synchronous motor (PMSM) weak magnetic control system. A new fuzzy Pi weak magnetic field algorithm for built-in permanent magnet synchronous motor (PMSM) is constructed by designing parameter self-tuning fuzzy Pi regulator to improve the steady-state characteristic and anti-interference ability of the system. A mathematical model is established by analyzing the structural characteristics of the built-in PMSM. The basic principles of vector control and magnetic weakening control are introduced. The influence of armature reaction on the main parameters of motor is studied. Then, the magnetic weakening characteristics of the built-in permanent magnet synchronous motor (PMSM) are analyzed, and the simulation model of the traditional Pi weakening algorithm of the PMSM is built, and the simulation results under different load interference conditions are compared. The simulation results show that the torque and speed of the traditional Pi weak magnetic control system have great disturbance and overshoot, and the steady-state characteristic and anti-jamming performance of the system are poor. The fuzzy logic theory and Pi strategy are combined to design the parameter self-tuning fuzzy Pi controller. Instead of the traditional fixed gain Pi regulator on the speed loop and current loop, a fuzzy Pi weak magnetic field algorithm is constructed, which enables the system to adjust Pi parameters online according to the real time working conditions. The simulation model of the built-in permanent magnet synchronous motor fuzzy Pi weak magnetic field control is established. By comparing the simulation results of the fuzzy Pi weak magnetic algorithm with the traditional Pi weak magnetic field algorithm under different load interference conditions, the simulation results show that, Compared with the traditional Pi weak magnetic field algorithm, the fuzzy Pi weak magnetic field algorithm improves the torque stability by 9 percent, the speed stability by 2 percent, the current stability by 10 percent, and the torque and rotational speed fluctuation obviously. Therefore, fuzzy control can improve the steady-state characteristic and anti-interference performance of the system. Based on the STM32 hardware speed control platform, the software algorithm of the built-in permanent magnet synchronous motor (PMSM) weak magnetic speed regulation system is designed. The results of the weak magnetic field experiment under different load interference conditions are compared. The experimental results show that the system has good steady-state characteristic and strong anti-interference ability, which meets the theoretical design target and has strong industrial application ability.
【学位授予单位】：湖南工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM341

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