The Research Of Shenguang Multiplier Temperature Control Algorithm

The multi-level circulating water temperature control system is the core of the Shengguang multiplier thermostat. The heat generated during the experiment is taken away from the instruments by the circulating water system. So the frequency multiplier could work normally when the temperature is constant. Water can effectively maintain the stability of the temperature for a long time because of its large heat capacity. The temperature of the circulating water is controlled step by step through a multi-level way to protect the temperature accuracy. The target temperature of the first water tank is 19.8±0.2℃, and the target temperature of the second water tank is 20±0.1℃.The main purpose of this paper is to research and analysis the algorithm of the multi-level circulating water temperature control system. At last, the final solution is selected and tested through experiment.The accurate mathematical models of both of the heating water tanks are obtained in the experimental way. Then the control parameters are tuned through the traditional way. The results of PID controllers can be seen from the simulation curves. The final temperature of the first tank is 19.8℃and the second tank is 20.0℃. But the response is slow with large overshoot and significant fluctuations before the steady state.Because of these disadvantages of PID controller mentioned above, the fuzzy control algorithm is studied. The fuzzy controllers are designed for both of the water tanks. The response of each fuzzy controller is very quick with little fluctuation in the simulation results. The steady-state error of both of the water tanks is 0.02℃and 0.01℃respectively which is allowed by the system.The PID control parameters of the PID controller could be tuned on-line in real time by the fuzzy controller in fuzzy PID control algorithm. The fuzzy PID controllers are designed for the two-level circulating water temperature control system. The simulation result tells that the fuzzy PID controller combined the speed of the fuzzy controller and the precision of the PID controller. The temperature of the first water tank could get 19.8℃quickly, and the temperature of the second tank could get 20.0℃in a short time with little fluctuation. The significance of this research is to provide the methods for the upgrading of this system.To give full consideration of the rate of progress of the project, the fuzzy control algorithm is used as the final solution of the system within the specification of the system. The fuzzy controller is achieved through PLC. Finally, the result of the controller is affirmed by the experimental analysis.