摘要
由于核电站蒸汽发生器是一个高度复杂的、非线性、时变的系统,传统的串级PID控制以及其它现代智能控制方法均难以取得满意的控制效果。把自抗扰控制方法引入蒸汽发生器水位的串级控制系统中,能够解决传统PID快速性和超调的矛盾,且能够动态补偿对象模型的内扰和外扰。但自抗扰控制器参数众多,无统一调整规范,参数难以整定,为解决这一问题,采用混沌搜索的粒子群混合优化算法来对自抗扰控制器参数进行优化。仿真结果表明该控制方法的鲁棒性和控制品质优于传统的串级PID控制方法。
As the steam generator of nuclear power plant is a highly complex,nonlinear,time-varying system,the traditional cascade PID control and other modern or intelligent control methods are difficult to obtain satisfactory control effect.In this paper,the active disturbance rejection control（ADRC） method is introduced to the water level control of steam generator so that it can solve the contradiction between speed and overshoot in the conventional PID control system,and it can compensate the internal and external disturbances of the object model dynamically as well.However,since ADRC parameters are numerous,there is no uniform adjustment specification,and the parameters are difficult to be tuned.In order to overcome those difficulties,the chaotic PSO hybrid optimization algorithm is used to tune ADRC parameters.The simulation results show that its robustness and control quality are better than those of the traditional cascade PID control.
出处
《华东电力》
北大核心
2011年第6期957-963,共7页
East China Electric Power
基金
国家自然科学基金项目(61040013)
上海市教委重点学科建设项目(J51301)~~
关键词
蒸汽发生器
水位控制
自抗扰控制
粒子群算法
混沌
串级PID控制
steam generator
water level control
active disturbances rejection control（ADRS）
particle swarm optimization
chaos
cascade PID control
