Design of Intelligent Control System Based on Asymmetric Fuzzy Algorithm

Power system is a complex nonlinear dynamic system composed of many units, such as power generation equipment, transformer, transmission and distribution lines and electrical equipment. It is difficult to establish an accurate mathematical model and obtain satisfactory dynamic performance with traditional control theory and method. Liquid level control system is a typical non-linear, time-varying and uncertain control object. Based on conventional fuzzy algorithm, the steady-state control of liquid level control system can be realized, but there are also some problems such as poor dynamic performance and long steady-state response time. In terms of these problems, an intelligent control system based on asymmetric fuzzy algorithm is presented. Simulation results show that excellent dynamic performance can be obtained for the liquid control system with the proposed asymmetric fuzzy, and the steady-state convergence time is shorter than the conventional fuzzy control system.