量子遗传算法在航空发动机PID控制中的应用  

Application of quantum genetic algorithm to aero-engine PID control systems

作　　者：孙丰诚[1] 孙健国[1] 张海波[1] 

机构地区：[1]南京航空航天大学能源与动力学院,江苏南京210016

出　　处：《推进技术》2007年第3期307-312,共6页Journal of Propulsion Technology

基　　金：国家自然科学基金项目(50576033);航空科学基金资助项目(04C52019)

摘　　要：分析研究了量子遗传算法(Quantum Genetic A lgorithm-QGA)的原理及其优势,将有指导的群体灾变及多宇宙并行演化策略引入量子遗传算法,改善其收敛性。以理想二阶系统为参考模型,实际系统响应曲线与参考模型响应曲线误差积分为目标函数,使用量子遗传算法进行发动机PID控制器参数优化并进行了数字仿真。仿真结果表明,量子遗传算法具有较好的全局收敛能力,应用于PID控制器控制参数优化后,控制器的控制效果良好,其在发动机控制系统中有较高的应用价值。　The theory and advantages of Quantum Genetic Algorithm were analyzed.The guided catastrophe of population and multi-space parallel evolution strategy was added to QGA to improve its global convergence.QGA was applied to aero-engine control systems which use the ideal second-order system to be the reference model.The objective function is the integral of error between aero-engine response and reference model response.QGA was used to optimize aero-engine PID controller parameter.Results of digital simulation were given,which show that QGA has good search capability,and it has application potential in aero-engine control systems.

关 键 词：航空发动机 量子遗传算法^+ 量子计算^+ PID控制器^+ 参数最优化 

分 类 号：V233.7[航空宇航科学与技术—航空宇航推进理论与工程]