Research on Optimization of Heat Supply Control Based on BAS-POS PID
With the increasing requirements of heating system,it is difficult for traditional PID control to meet the requirements of control system.Intelligent optimization algorithm has been widely used in heating field.In this paper,a control strategy based on BAS-POS PID is proposed.This algorithm not only has the characteristics of simple optimization mechanism,convenient implemen-tation and small amount of computation,but also combines the particle swarm algorithm to avoid the problems such as the BAS al-gorithm being a single algorithm easy to fall into local optimal and too sensitive to the setting of parameter values.Adaptive step size strategy and convex lens imaging strategy are used to update the position and enhance its richness.Firstly,the mathematical model of the temperature control system is determined,and then the simulation model is established by Simulink module in Matlab for simulation experiment.The final experimental results show that compared with a single algorithm,BAS-POS PID has the charac-teristics of smaller error,faster response speed and stronger anti-interference.