电气传动系统的智能控制  

Intelligent Control of the Electric Transmission System

作　　者：张雅婕[1] 杨洁[1] ZHANG Yajie;YANG Jie(Wuhan Engineering Vocational and Technical College,Wuhan 430082,Hubei,China)

机构地区：[1]武汉工程职业技术学院,湖北武汉430082

出　　处：《流体测量与控制》2024年第6期34-37,共4页Fluid Measurement & Control

摘　　要：围绕电气传动系统的智能控制展开研究,提出一种基于先进控制算法的新型智能控制策略。通过深入分析电气传动系统的特性和现有控制方法的局限性,对电气传动系统进行了全面的优化。结果表明,相较于传统控制方法,智能控制策略在减小速度误差、缩短响应时间、降低超调量和减少能耗等方面表现出明显优势。神经网络控制在不同工况下的最大速度误差降低了60%,平均响应时间缩短了20%,超调量减少了50%,能耗降低了16.7%。这些数据充分证明了智能控制策略在提升电气传动系统性能方面的有效性。自适应学习机制的引入进一步增强了系统的适应性和稳定性,使电气传动系统能够更好地应对负载变化。This paper focuses on the intelligent control of electric transmission system,and puts forward a new intelligent control strategy based on advanced control algorithm.Through the thorough analysis of the characteristics and the limitations of existing control methods.The results show that compared with the traditional control method,intelligent control strategy in reducing speed error,shorten the response time,reduce overshoot and reduce energy consumption showed obvious advantages,neural network control under different conditions of maximum speed error reduced by 60%,the average response time shortened by 20%,overshoot reduced by 50%,energy consumption reduced by 16.7%.These data fully demonstrate the effectiveness of the intelligent control strategy in improving the performance of the electric drive system.The introduction of an adaptive learning mechanism further enhances the adaptability and stability of the system,enabling the electrical transmission system to better cope with load changes.

关 键 词：电气传动系统 智能控制 先进控制算法 模型预测控制 

分 类 号：TM921[电气工程—电力电子与电力传动]