Research on intelligent control strategy of uniform temperature in pulse combustion furnace

In the temperature control, the object has a non-linear, strongly coupled system with large time delay and other characteristics, traditional PID can't achieve good results because the adjustment of the PID controller's parameter cannot be achieved. This paper presents an algorithm for optimization of PID controller's parameters based on fruit flies optimization algorithm, which can achieve optimal control by tuning PID controller's parameters. On this basis, we design a different regional temperature optimal control system, which makes pulse combustion furnace in different areas to achieve uniform temperature. The simulation results show that the organic combination of fruit flies optimization algorithm and the different regional temperature optimal control system improves the accuracy of temperature in furnace.