Method and system for fuzzy control over genetic algorithm optimization of shielded gate portal crane controller

Abstract

The invention provides a method and system for fuzzy control over genetic algorithm optimization of a shielded gate portal crane controller. A reference rotation speed value n* and a brushless direct current motor measuring rotation speed value n serve as two input values of a fuzzy controller for genetic algorithm optimization; a current output by the fuzzy controller and a current output by a current sensor are input into a current comparator, an error current passes through a current PID regulator and is output to a PWM controller, and finally, the PWM controller controls the rotation speed of a motor through an inverter. By the adoption of rotation speed current double-closed-loop control, double-fuzzy control over genetic algorithm optimization is adopted by a rotation speed outer ring and traditional PI control is conducted on the currents. Compared with the prior art, the method and system for fuzzy control over genetic algorithm optimization of the shielded gate portal crane controller have the advantages that the tracking accuracy is high, the robustness is strong, parameter adjustment can be effectively conducted on system parameter drifting, the function of self-adaptation control is achieved, and the obvious superiority is achieved.

Description

technical field [0001] The invention relates to a fuzzy control method and system for genetic algorithm optimization of a door machine controller of a shielded door. Background technique [0002] With the rapid development of urban rail transit, the subway has become one of the most convenient, economical and efficient means of transportation for people to travel; at the same time, higher and higher requirements are put forward for the reliable operation of screen doors. The screen door is a glass door installed on the edge of the platform of the subway station. It separates the platform from the train operation area, and has the characteristics of improving the safety of the platform and reducing the investment in the station's environmental control system. DC brushless motor has the characteristics of simple structure, reliable operation, convenient maintenance and long life of AC motor, and has good mechanical characteristics and speed regulation of ordinary DC motor. At ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a genetic algorithm-optimized fuzzy control method and system of a shielded door operator controller to solve the existing subway shielded door operator control algorithm in the prior art usually using conventional PID control, due to the brushless DC motor Multi-variable and non-linear characteristics, which make the response speed of the screen door slow, and because of the overshoot and short-term oscillation problems of the traditional PID, the screen door is unstable when running, and the anti-interference ability is not strong.

Images