Research and design of intelligent optimization method on temperature control system

LI Xue-zhong1, DAI Jun1, LIU Yi2

(1.College of Computer, Hangzhou Dianzi University, Hangzhou 310018, China; 2.Institute of

Management Science & Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract: Aiming at solving the problem of long adjustment time and low precision in traditional PID temperature control system, the control algorithm of the temperature control system, actuator and feedback quantity were reached, temperature control system of intelligent optimization method was proposed. The incremental PID algorithm was used to control the actuator. Genetic algorithm optimization was used for the minimum output, smooth PID output effect was achived. In the process of PID control, the minimum output was used as the genetic factor, the reciprocal of integrated time absolute error was adopted. Thus minimum output on line was set and the oscillation frequency of the actuator was reduced. Multithreaded control mode was designed, control logic of control threading was realized, accuracy control of PID threading was achieved and optimization of parameter in optimizing threading was realized. By DITT scheduling algorithm, multithreading control was coordinated to improved the system utilization. The results indicate that intelligent optimization method is successfully used in the furnace temperature control system, improves the dynamic performance, enhances the rapidity of the system, ensures the control effect.

Key words: intelligent optimization; PID; genetic algorithm; multithreading; furnace