改进的预测控制算法用于加热炉支管温度控制

加热炉支管温度平衡系统是一个多变量、非线性、强耦合的复杂过程,当应用传统预测控制方法时,控制量的获得需要在线求解一个多变量、多约束的非线性规划问题,传统非线性规划方法求解该类问题时易收敛到非法解或局部极小。针对上述问题提出一种基于差分进化(differential evolution,DE)算法的预测控制,使用DE算法在线求解涉及的优化问题获得控制量。为了验证方法的有效性,对基于DE算法的预测控制器进行了仿真研究。仿真结果表明,所提出的方法有着很好的跟踪性能,并且对干扰有较强的鲁棒性,提高了系统的控制效果。

Model predictive control algorithm for heater bypass temperature control

An improved model predictive control strategy was developed for temperature balance control of a heater bypass.Operational constraints often arise from restrictions on the inlet flux of each heater bypass and the total inlet flux.With these constraints,the model predictive control(MPC) optimization problem becomes a nonlinear constrained programming problem which is hard to solve by traditional mathematical programming methods.A differential evolution(DE) algorithm based the MPC strategy was developed to solve the constrained optimization problem.The strategy was applied in a simulated control system to demonstrate that the DE-based MPC can accurately control the temperature balance control system.