Based On Fuzzy Adaptive Control For Motor Soft Starter

This dissertation focuses on the research and application of fuzzy control method, self-adaptive fuzzy control method was tested in motor soft starter control system. Since Zedeh, who was the professor of University of California in America, founded fuzzy theory in 1965, fuzzy control develops quickly because fuzzy logic provides a method based on language rules and reasoning. It is an important embranchment of intelligent control. At present, fuzzy control develops towards adaptive control and self-learning control. The adaptive controllers make the parameters and rules regulate, modify and perfect constantly, so the best performance of the control system can be obtained.Asynchronous motor soft starter is a kind of novel motor control device which can implement the soft-start, soft-stop and energy-saving. Compare in the traditional motor starter, it has outstanding advantages such as stepless regulation of the motor start, avoid the inrush of the torque and the current, and reliable protections and convenient operation.The research aims at thyristor soft starter. Firstly, the general situation of the motor soft-start technology is introduced. Then, the three phases voltage regulator circuits and three phases asynchronous motor soft starter method are analyzed. Based on motor soft-start principle, proceeded from motor model and analyzed the characters of non-linear and time varying, designs a self-adaptive fuzzy control method. Following that, it tests the control performance of limit-current which is representative based on matlab. Compare in the traditional PID and traditional fuzzy control method, self-adaptive fuzzy control method is superior.Last, the hardware and software of control system is introduced simply. The function module of the hardware system with the DSP as the central unit and software are illuminated.