Study of two-cell immune feedback control for water level of boiler drum based on gray prediction
Due to the ‘false water level’ phenomenon in power station makes the traditional control strategy can't be a good solution to the problem, a two-cell immune feedback control strategy based on gray prediction for water level of boiler drum in power station is proposed, which using the function of gray prediction with strong self-adaptability and advanced control functions, and learning from bio-feedback mechanism of the immune system and regulating rule of response process. Through lots of simulation studies, it can achieve a more satisfied control quality with strong robustness and anti-jamming capability. Meanwhile, the structure and algorithm of the control strategy are simple and easy to engineering implementation.
Application of grey self-tuning fuzzy immune PID control for main steam temperature control system
The prominent virtues of grey prediction are small information, few data and a little of computation. The conventional PID controller has strong robustness, sophisticated technology and simple structure, so it has been used widely in the process control. With the adjustable role of feedback response of biological immune systems, the capability of simulating non-linear functions with fuzzy rationalizing logic, and the advantage of gray prediction, an application of fuzzy immune PID control with gray prediction has been proposed. In view of the grey-step having great effect to the results of forecast, the fuzzy rules are used to adjust the forecast step, which is a very good supplement to the grey prediction. The method mentioned in this paper is applied to the main steam temperature control system of power plant, the simulation shows that this strategy has strong capability of anti-disturbance.
The research on temperature autocontrol based on the immune feedback mechanism
Based on the feedback mechanism of the biologic immune system a compound control method that the conventional PI controller is combined with an immune controller is presented. In the concrete the immune controller is in series with the PI controller whose parameters have been optimized. The output of the PI controller is reprocessed by an immune controller. Considering the practical system, an error reference function used to limit the overshoot is presented also. And the method to adjust and determine the parameters of the controller system is introduced. The results of the imitation experiments show that the method of the compound control can be used to improve the control performance of the system temperature for MOCVD effectively.