The Application Of Single Neuro Element Self-adaptive PID Controller In The Temperature Control System Of Furnance

In this paper, the development histroy of PID controller and the ripe methords of its parameters setting are reviewed.In order to solve the problem that the tradition methods of PID controller' s parameters setting can' t controll the temperature of the electrical furnance effectively, A neuro element PID controller with some adaptive ability is proposed .This controller realized the on-line self-tunning of parameters of PID controller. In addition, in order to overcome the shortcoming of neuro element PID controller,that is , the controller' s gain K can' t be tuned on-line , the tunning method of gain in PSD controller is introduced and the neuro element PSD controller is obtainted. The gain K can be tuned on-line in neuro element controlers, so it has stronger adaptability and robustness.In neuro-element PID and PSD controllers if the time delay of the controlled object , is too long, the overshoot of the system will be too high and system even will be unstable. In order to solve this problem, the neuro controller is combined with the Smith-predictor. Thus the influence of time-delay to control system is overcome effectively.These kinds of controll algorithom are applied in the temperature control system of electrical furnance and simulation research is done with Simulink. The simulation results show that neuro element PID and PSD controllers have good performance and can be used widely.