某电机模糊PI调速仿真

随着科技的进步，无刷直流电机正被广泛应用到国防、航空航天、机器人、医疗器械、机密机床等领域中。电机控制的研究和应用也日益受到人们的关注，学习和掌握无刷直流电机调速仿真技术，对今后的工作和学习具有重要意义。

本文建立了无刷直流电机数学模型，确定了立了双闭环调速方案。在Matlab中，搭建了无刷直流电机双闭环调速仿真模型，其中外环为速度环，分别使用传统PI控制和模糊PI控制模块，内环为电流PI控制环。PI和模糊PI调速仿真结果表明，当速度由1000r/min调节至500r/min时传统PI调速经过0.023s速度稳定在500r/min，且存在较大的超调现象，调节过程中速度最小约为300r/min；而模糊PID调节仅需0.004s便可调节至500r/min，且不存在超调现象，模糊PI控制调速方法高于传统PI控制。

关键词：无刷直流电机；PI控制；模糊PI控制

Abstract 

With the advancement of science and technology, brushless DC motors are being widely used in the fields of national defense, aerospace, robotics, medical equipment, confidential machine tools and other fields. The research and application of motor control have also attracted increasing attention. Learning and mastering the simulation technology of brushless DC motor speed regulation is of great significance for future work and learning.

In this paper, a mathematical model of a brushless DC motor is established, and a double closed-loop speed regulation scheme is established. In Matlab, a double-closed loop speed regulation simulation model of a brushless DC motor is set up, in which the outer loop is a speed loop, using traditional PI control and fuzzy PI control modules, and the inner loop is a current PI control loop. The simulation results of PI and fuzzy PI speed regulation show that when the speed is adjusted from 1000r / min to 500r / min, the traditional PI speed is stabilized at 500r / min after 0.023s, and there is a large overshoot phenomenon, and the speed is the smallest during the adjustment. It is about 300r / min; while the fuzzy PID adjustment can be adjusted to 500r / min in only 0.004s, and there is no overshoot phenomenon. The fuzzy PI control speed regulation method is higher than the traditional PI control.

Keywords:brushless DC motor;PI control;fuzzy PI control

目录

摘要I

第一章 绪论1

1.1. 研究背景及意义1

1.2. 国内外研究现状1

第二章 无刷直流电机模糊PI控制系统3

2.1. PID调速原理3

2.2. 无刷直流电机数学模型4

2.3. 模糊PI控制5

2.3.1. 模糊控制器5

2.3.2. 模糊PID控制器的设计6

第三章 传统PI控制调速仿真7

3.1. 无刷直流电机本体模块7

3.2. 逆变器模块8

3.3. PI 调节器模块8

3.4. PWM发生模块9

3.5. 逻辑换相模块10

3.6. Powerguimo模块11

3.7. PI控制仿真结果11

第四章 模糊PI控制调速仿真12

4.1. 模糊推理系统12

4.2. 模糊规则建立13

4.3. 速度环模糊PI仿真模型14

4.4. 模糊PI调速仿真结果14

参考文献16

致谢18