1998 Volume 10 Issue 3 Pages 522-531
"SIRMs Dynamically Connected Fuzzy Inference Model" is proposed for plural input fuzzy control. For each input item, a single input rule module (SIRM) is constructed, and a dynamic importance degree is introduced, The dynamic importance degree is defined as the sum of a base value and a dynamic value. The base value is used to insure the role of the corresponding input item at steady state, and the dynamic value is allowed to change in real time with control situations. The output of the model is obtained by summarizing the products of the dynamic importance degree and the fuzzy inference result of each SIRM. Then, constant value control plants are taken into consideration, and the design method of the model is given in detail. In this case, each dynamic value can be determined based on the local information of the corresponding input item. Furthermore, the proposed model is applied to typical first-order delay plants with a lag time and second-order delay plants with a lag time. The simulation results show that the reaching time can be shortened by more than 10% without overshoot or vibration compared with the SIRMs connected fuzzy inference model.
