A New Self-Adaptive Control Model and Application Basis on Optimum Fuzzy-RBFNN

PID control is common control method in industrial production, but strong non-linear control system based on ordinary control algorithm isn´t able to meet stability and self-adaptive requirements, control precision can´t be ensured. Adaptive adjust intelligent model of control parameter based on improved fuzzy radial basis function neural network (F-RBFNN) is proposed in this paper, new algorithm of combing fuzzy with RBFNN is constructed, and the algorithm is applied to temperature PID control on-line parameter tuning, it can be solved the problem of bad robustness and the prerequisite conditional that precise mathematical models must be known in advance for the traditional PID control method. Simulation results indicate that system performance including in robustness, overshooting number, rise-time and peak value is superior to the traditional PID control method.