Research On Fuzzy Predictive Control System Of Heating For Electric Boiler

Electric boiler is a conversion device, which convers electrical energy into heat energy. It has the advantages of simple structure, high degree of automation, no pollution to environment, it has been widely applied in industrial production, household heating and other fields. For control system has a large delay, multivariable, strong coupling, nonlinear and time-varying characteristic of difficulty to establish accurate mathematical model. Therefore, the design of a high precision, stable running of electric boiler heating system has significant social benefits on energy saving and emission reduction.In this paper, based on the in-depth analysis and research on the working principle, the process characteristics and the technical requirements, For electric boilers temperature control system has a large delay, multivariable, strong coupling, nonlinear and time-varying characteristic, this paper presented a intelligent control algorithm characterized by fuzzy control and predictive control based on fuzzy logic reasoning which integrated the advantages of the fuzzy control and predictive control. Aiming at the control performance of the predictive step, this paper presented a new algorithm what is fuzzy predictive controller based on auto-tuning predictive step.Under the circumstance of the system mathematical model parameters variation, this paper made the simulation of the traditional PID control, the fuzzy predictive control and the fuzzy predictive controller based on auto-tuning predictive step with MATLAB. The simulation results showed that the fuzzy predictive controller based on auto-tuning predictive step improved the steady performance, dynamic performance and the anti-interference ability in electric boilers control system. At last, the algorithm has been put into operation in practice, actual operation results show that the system control accuracy, high operation is stable, and achieved satisfactory control effect.