基于GPC的自适应温控PID的设计与仿真

温度控制是具有大时滞特性的控制对象,当工况发生变化时,固定取值PID控制器难以实现理想的控制效果。基于广义预测控制的自适应PID控制器通过最小二乘法对系统进行辨识,将Diophantine方程的递推解与PID参数相对应,实现PID参数的自适应。MATLAB仿真和Automation Studio仿真实验表明,以基于广义预测控制的PID控制器代替固定取值的PID控制器来控制温度对象,在稳定性和实时跟踪等方面都能取得良好的控制效果。

Design and Simulation of Self-adaptive Temperature Control PID Based on GPC

Temperature control features large time-delay. When the working conditions change, it is difficult to achieve ideal control effects by using a PID controller with fixed parameters. In self-adaptive GPC-based PID controller, through the least square method, the system recognition is realized. The recurrence solutions of Diophantine equation are corresponding to the PID parameters, thus the whole system is self-adaptive. The simulations in MATLAB and Automation Studio show that replaced by PID controller with fixed parameters with GPC-based PID controller to control temperature, excellent control effects are obtained in stability and real-time tracking performance.