基于遗传算法的汽轮机DEH控制系统的参数优化研究

A Study on the Parameter Optimization of a Digital Electro-hydraulic (DEH) Control System for a Genetic Algorithm-based Steam Turbine

在遗传算法基本原理的基础上将其应用于汽轮机数字电液控制系统PID调节器参数的优化整定 ,对整定后系统的响应特性进行了对比分析 ,结果表明 ,改进遗传算法具有寻优速度快、能够获得全局最优的特点 ,经过优化后控制系统具有良好的动态响应特性。

After an explanation of the basic theory of genetic algorithm the latter is used for the parameter optimization of the PID (proportional integral differential) governor of a steam turbine DEH (digital electro hydraulic) control system. The dynamic characteristics of the system after parameter optimization are compared with those of a system, which has undergone an adjustment by a conventional method. The results of comparison indicate that the improved genetic algorithm offers the merit of high convergence speed and the acquisition of global optimization. After being optimized the control system will enjoy better dynamic response characteristics. The genetic algorithm can be advantageously employed for the parameter optimization of the governor of a steam turbine DEH control system.