Simulation and Application on the Adaptive Fuzzy PI control in Low-Rise Elevator Speed Regulation System

摘要

The elevator has become an important vertical transport tool, its control effect of speed regulation attracted much attention. The structure of control system about low-level elevator was introduced. For starting and braking frequently and the load changes greatly, the traditional PI control strategy is difficult to achieve the desired control effect of the elevator. The fuzzy inference rule table was established which based on fuzzy control theory. The adaptive fuzzy PI controller was designed. The simulation research and application using the adaptive fuzzy PI control strategy in brushless DC motor systems was performed. The proposed method was validated through simulation control experiments and application that the adaptive fuzzy PI can satisfy the elevator high-performance speed requirements and have very good using value.