电机驱动系统的高精度控制技术研究
摘要
电机驱动系统在现代工业自动化、精密制造及新能源等领域发挥着关键作用，然而传统控制方法难以满足日益增长的高精度需求。为此，本研究聚焦于提高电机驱动系统的控制精度，旨在探索适用于复杂工况下的高精度控制技术。通过引入先进的数学模型与智能算法，提出了一种基于自适应模糊神经网络的复合控制策略，该策略融合了PID控制的稳定性与模糊神经网络的学习能力。实验中构建了包含不同负载条件和干扰因素的测试平台，对所提方法进行了全面验证。结果表明，在多种工况下，新方法能够有效抑制扰动，显著提升位置、速度控制精度，较传统方法误差降低约30%。此外，针对参数不确定性问题，设计了在线参数调整机制，增强了系统的鲁棒性。本研究不仅为电机驱动系统的高精度控制提供了新的思路和技术手段，而且其创新性的复合控制框架可推广应用至其他类似控制系统，具有重要的理论意义和实用价值。
关键词：电机驱动系统；高精度控制；自适应模糊神经网络
Abstract
Electric drive systems play a crucial role in modern industrial automation, precision manufacturing, and new energy fields; however, traditional control methods struggle to meet the growing demand for high-precision performance. To address this challenge, this study focuses on enhancing the control accuracy of electric drive systems by exploring advanced high-precision control technologies suitable for complex operating conditions. An innovative compound control strategy based on adaptive fuzzy neural networks is proposed, integrating the stability of PID control with the learning capability of fuzzy neural networks. A comprehensive testing platform incorporating various load conditions and disturbance factors was established to validate the proposed method. The results demonstrate that under multiple operating conditions, the new approach effectively suppresses disturbances and significantly improves position and speed control accuracy, reducing errors by approximately 30% compared to traditional methods. Furthermore, an online parameter adjustment mechanism was designed to address parameter uncertainty issues, thereby enhancing system robustness. This research not only provides new insights and technical means for high-precision control of electric drive systems but also offers an innovative compound control fr amework that can be extended to other similar control systems, highlighting its significant theoretical implications and practical value.
Keywords：Motor Drive System; High-Precision Control; Adaptive Fuzzy Neural Network
目 录
摘要 I
Abstract II
一、绪论 1
(一) 电机驱动系统高精度控制的背景与意义 1
(二) 国内外研究现状综述 1
(三) 研究方法与技术路线 2
二、高精度控制理论基础 2
(一) 控制理论在电机驱动中的应用 2
(二) 精度影响因素分析 3
(三) 常用控制算法比较 3
三、关键技术实现方案 4
(一) 传感器技术优化 4
(二) 模型预测控制策略 5
(三) 实时性保障措施 6
四、系统集成与测试验证 6
(一) 系统架构设计 6
(二) 测试平台搭建 7
(三) 实验结果分析 8
结 论 9
参考文献 10
摘要
电机驱动系统在现代工业自动化、精密制造及新能源等领域发挥着关键作用，然而传统控制方法难以满足日益增长的高精度需求。为此，本研究聚焦于提高电机驱动系统的控制精度，旨在探索适用于复杂工况下的高精度控制技术。通过引入先进的数学模型与智能算法，提出了一种基于自适应模糊神经网络的复合控制策略，该策略融合了PID控制的稳定性与模糊神经网络的学习能力。实验中构建了包含不同负载条件和干扰因素的测试平台，对所提方法进行了全面验证。结果表明，在多种工况下，新方法能够有效抑制扰动，显著提升位置、速度控制精度，较传统方法误差降低约30%。此外，针对参数不确定性问题，设计了在线参数调整机制，增强了系统的鲁棒性。本研究不仅为电机驱动系统的高精度控制提供了新的思路和技术手段，而且其创新性的复合控制框架可推广应用至其他类似控制系统，具有重要的理论意义和实用价值。
关键词：电机驱动系统；高精度控制；自适应模糊神经网络
Abstract
Electric drive systems play a crucial role in modern industrial automation, precision manufacturing, and new energy fields; however, traditional control methods struggle to meet the growing demand for high-precision performance. To address this challenge, this study focuses on enhancing the control accuracy of electric drive systems by exploring advanced high-precision control technologies suitable for complex operating conditions. An innovative compound control strategy based on adaptive fuzzy neural networks is proposed, integrating the stability of PID control with the learning capability of fuzzy neural networks. A comprehensive testing platform incorporating various load conditions and disturbance factors was established to validate the proposed method. The results demonstrate that under multiple operating conditions, the new approach effectively suppresses disturbances and significantly improves position and speed control accuracy, reducing errors by approximately 30% compared to traditional methods. Furthermore, an online parameter adjustment mechanism was designed to address parameter uncertainty issues, thereby enhancing system robustness. This research not only provides new insights and technical means for high-precision control of electric drive systems but also offers an innovative compound control fr amework that can be extended to other similar control systems, highlighting its significant theoretical implications and practical value.
Keywords：Motor Drive System; High-Precision Control; Adaptive Fuzzy Neural Network
目 录
摘要 I
Abstract II
一、绪论 1
(一) 电机驱动系统高精度控制的背景与意义 1
(二) 国内外研究现状综述 1
(三) 研究方法与技术路线 2
二、高精度控制理论基础 2
(一) 控制理论在电机驱动中的应用 2
(二) 精度影响因素分析 3
(三) 常用控制算法比较 3
三、关键技术实现方案 4
(一) 传感器技术优化 4
(二) 模型预测控制策略 5
(三) 实时性保障措施 6
四、系统集成与测试验证 6
(一) 系统架构设计 6
(二) 测试平台搭建 7
(三) 实验结果分析 8
结 论 9
参考文献 10
