摘 要
电机调速系统在工业自动化、能源管理及现代制造领域中具有重要地位，然而传统PID控制方法在面对复杂工况和非线性负载时存在响应迟缓、精度不足等问题。为此，本文提出了一种基于模糊控制的电机调速系统设计方案，旨在提升系统的动态性能与鲁棒性。研究首先分析了电机调速系统的数学模型及其控制需求，结合模糊逻辑理论设计了模糊控制器的核心结构，包括输入输出变量的隶属函数定义、模糊规则库的构建以及解模糊算法的选择。为验证方案的有效性，本文通过Matlab/Simulink平台搭建了仿真模型，并对不同工况下的系统性能进行了测试。结果表明，所提出的模糊控制系统相较于传统PID控制，在启动加速、负载扰动抑制及稳态误差消除等方面表现出显著优势。此外，该方法无需精确的数学模型即可实现高性能控制，适应性强，尤其适用于复杂环境下的电机调速任务。
关键词：电机调速系统 模糊控制 PID控制
Abstract
Motor speed regulation system plays an important role in the field of industrial automation, energy management and modern manufacturing. However, traditional PID control methods have problems such as slow response and insufficient accuracy in the face of complex working conditions and nonlinear loads. So this paper proposes a design scheme based on fuzzy control to improve the dynamic performance and robustness of the system. The paper first analyzes the mathematical model and control requirements of the motor speed control system, and designs the core structure of the fuzzy logic theory, including the definition of the membership function of input and output variables, the construction of fuzzy rule library and the selection of fuzzy solution algorithm. In order to verify the effectiveness of the scheme, in this paper, a simulation model is built through Matlab / Simulink platform and tests the system performance under different working conditions. The results show that the proposed fuzzy control system shows significant advantages in starting acceleration, load disturbance suppression, and steady state error elimination and more over the traditional PID control. In addition, this method can achieve high performance control without accurate mathematical model, and is highly adaptable, especially suitable for motor speed control tasks in complex environment.
Keyword:Motor Speed Control System Fuzzy Control Pid Control
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状分析 1
1.3本文研究方法概述 2
2模糊控制理论基础 2
2.1模糊控制的基本概念 2
2.2模糊逻辑系统的设计原理 3
2.3模糊控制器的数学模型 3
2.4模糊控制在电机调速中的应用价值 4
3电机调速系统设计与实现 4
3.1电机调速系统的结构分析 4
3.2模糊控制器的设计方案 5
3.3调速系统的参数优化方法 5
3.4实验平台搭建与测试方法 6
4系统性能分析与改进策略 6
4.1系统动态性能评估 6
4.2模糊控制对系统稳定性的影响 7
4.3性能优化的关键技术探讨 7
4.4改进策略的提出与验证 8
结论 8
参考文献 10
致谢 11
