Application of Improved Sparrow Algorithm in Fuzzy PID for Temperature Control
In order to meet the temperature control requirements of standard metal gauge verification,an improved sparrow search algorithm is proposed in this paper.The improved Sine chaotic mapping was used to initialize the population and firefly interference strategy,which prevented the sparrow search algorithm from falling into the local optimal condition prematurely and improved the convergence speed of the algorithm.The mathematical model of temperature control system based on fuzzy PID controller is established,and the parameters of fuzzy PID controller are optimized by the improved algorithm.The results show that the performance of fuzzy PID controller optimized by this algorithm is superior to other algorithms in all aspects.
temperature controlfuzzy PIDsparrow search algorithm
万方数据
维普
