摘 要
电机调速系统作为现代工业自动化领域的重要组成部分，其性能直接影响到生产效率和能源利用水平，而传统PID控制方法在面对复杂工况时往往难以满足高精度、快速响应的要求，因此引入模糊控制技术成为提升系统性能的有效途径本研究以提高电机调速系统的动态性能和鲁棒性为目标，基于模糊逻辑理论设计了一种适用于永磁同步电机的模糊自适应控制器该方法通过构建模糊规则库和隶属度函数，能够在线调整控制参数以适应负载变化和非线性扰动实验结果表明，所提出的模糊控制器在启动、制动及稳态运行阶段均表现出优异的跟踪能力和抗干扰能力与经典PID控制相比，系统超调量降低约25%，调节时间缩短约30%，同时在宽范围负载波动下仍能保持良好的稳定性此外，本研究还结合遗传算法优化了模糊控制器的参数配置，进一步提升了控制效果这一创新性改进显著增强了模糊控制系统的适应性和智能化水平综上所述，模糊控制技术为电机调速系统提供了灵活高效的解决方案，具有重要的理论意义和工程应用价值
关键词：模糊控制；永磁同步电机；动态性能；遗传算法优化；鲁棒性
ABSTRACT
As an essential component of modern industrial automation, the performance of motor speed control systems directly affects production efficiency and energy utilization levels. However, traditional PID control methods often fail to meet the requirements of high precision and rapid response under complex operating conditions. Therefore, introducing fuzzy control technology has become an effective approach to enhance system performance. This study aims to improve the dynamic performance and robustness of motor speed control systems by designing a fuzzy adaptive controller for permanent magnet synchronous motors based on fuzzy logic theory. This method constructs a fuzzy rule base and membership functions, enabling online adjustment of control parameters to adapt to load variations and nonlinear disturbances. Experimental results indicate that the proposed fuzzy controller demonstrates excellent tracking and disturbance rejection capabilities during startup, braking, and steady-state operation phases. Compared with classical PID control, the system overshoot is reduced by approximately 25%, and the settling time is shortened by about 30%. Moreover, the system maintains good stability under wide-ranging load fluctuations. Additionally, this research incorporates genetic algorithms to optimize the parameter configuration of the fuzzy controller, further enhancing control performance. This innovative improvement significantly strengthens the adaptability and intelligence level of the fuzzy control system. In conclusion, fuzzy control technology provides a flexible and efficient solution for motor speed control systems, possessing important theoretical significance and engineering application value.
Keywords: Fuzzy Control; Permanent Magnet Synchronous Motor; Dynamic Performance; Genetic Algorithm Optimization; Robustness
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 模糊控制技术与电机调速系统的研究背景 1
1.2 模糊控制技术在电机调速中的应用意义 1
1.3 国内外研究现状与发展趋势分析 2
1.4 本文研究方法与技术路线 2
第2章 模糊控制技术基础及其适配性分析 3
2.1 模糊控制的基本原理与数学模型 3
2.2 模糊逻辑在动态系统中的适用性探讨 3
2.3 电机调速系统的特性与控制需求 4
2.4 模糊控制与传统控制方法的对比分析 4
2.5 模糊控制技术在电机调速中的优势评估 5
第3章 模糊控制器设计与优化策略 6
3.1 模糊控制器的设计框架与实现步骤 6
3.2 输入输出变量的模糊化处理方法 6
3.3 控制规则的制定与优化策略研究 7
3.4 模糊推理机制在电机调速中的应用分析 7
3.5 参数调整与性能优化的关键技术 8
第4章 实验验证与性能评估 9
4.1 实验平台搭建与测试方案设计 9
4.2 模糊控制算法的仿真与实验结果分析 9
4.3 系统响应特性与稳定性评估 10
4.4 能耗与效率提升效果的量化分析 10
4.5 实际应用中的问题与改进方向 11
结论 12
参考文献 13
致 谢 14
