遗传优化模糊控制方法及其在液压动力系统控制中的应用研究  

Optimization of Fuzzy Logic Controller Based on Improved Genetic Algorithm and Its Application in the Control of Hydraulic System

作　　者：马玉[1] 谷立臣[1] 

机构地区：[1]西安建筑科技大学机电学院,陕西西安710055

出　　处：《机床与液压》2013年第13期29-33,共5页Machine Tool & Hydraulics

基　　金：国家自然科学基金资助项目(50575168);西安建筑科技大学青年科技基金资助项目(QN1127)

摘　　要：节能和精确控制是液压控制追求的两大目标。针对传统液压系统存在的高能耗、低响应速度的特点,采用节能型液压动力源永磁伺服电机直接驱动定量泵,取代原有的异步电机驱动液压动力源,形成一种新型节能、响应快速、易实现闭环控制的液压动力系统。鉴于负载变化过程中流量和压力的耦合特性,设计了流量、压力双闭环反馈控制液压系统,基于变频调速理论实现对液压源流量的精准控制,同时通过比例溢流阀模拟负载实现了对系统压力的精确控制。针对上述液压系统,提出一种改进遗传算法优化的模糊控制策略,同时对系统流量、压力进行精准控制。仿真和实验结果表明:采用该改进遗传算法优化的模糊控制策略较传统液压控制方法具有更好的控制性能和节能效果。Energy-efficient and precision are the two goals of hydraulic control. In view of the high energy consumption and low response of the traditional hydraulic system, permanent magnet synchronous motor driving constant pump hydraulic system was de- signed instead of common motor. In view of the coupling characteristics of flow and pressure in the process of load changing, flow and pressure double closed loop feedback control system was designed to control flow and pressure. Based on the mentioned hydraulic sys- tem, an improved genetic algorithm optimized fuzzy control strategy was proposed for accurate control of pressure and flow of hydraulic system. Simulation and experimental results show that the improved genetic algorithm optimized fuzzy control strategy has better control performance and energy-saving effect compared to traditional hydraulic control method.

关 键 词：遗传算法 模糊控制器 液压系统 节能 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]