基于混沌PSO的循环流化床汽温系统分数阶控制

分数阶PIλDμ控制是传统PID控制的推广与发展,积分阶次λ和微分阶次μ的引入使得分数阶PIλDμ控制器具有更灵活的结构、更好的鲁棒性和更强的抗扰动能力,但也增加了参数整定的难度.参数的取值对控制效果的好坏起着决定性作用,为此提出了采用混沌粒子群优化算法优化分数阶PIλDμ控制器参数.该方法采用自适应粒子群优化算法执行...

Design of fractional order control for steam temperature system of circulating fluidized bed boiler based on chaos particle swarm optimization method

Fractional order PIλDμ control is the generalization and development of traditional proportional-integral-derivative(PID) control.The introduction of the integral order and differential order make the controller more flexible and robust,in addition,they make the controller have stronger disturbance rejection ability.However,it increases difficulties for parameter verification.Whether the control effect is stand or fall,parameters play a conclusive part.For that,fractional order control system was designed based on chaos particle swarm optimization(CPSO) method.This method adopts self-adaptive particle swarm optimization to do global search for increasing efficiency of globally optimal solution.In order to avoid sinking into local optima,it also adopts chaos local search.Aiming at the features of main steam temperature of circulating fluidized bed boiler such as time dependence,large lag and big inertia,Fractional order controllers was proposed whose parameters is tuned by chaos particle swarm optimization(CPSO) method.Simulation results show that,the PID controller based on CPSO have better robustness and adaptability,compared with the PID controller based on traditional PSO.