Diesel locomotive asynchronous motor fuzzy speed device control method

Abstract

A fuzzy speed controller control method for an asynchronous motor of a diesel locomotive. Because the fuzzy control technology has the function of nonlinear structure self-seeking, it can select suitable PI parameters according to different speed errors and the speed error change rates corresponding to different speed errors, so that To achieve the purpose of quickly following the given torque and given speed in the full speed range, and to improve the static and dynamic characteristics of the system. In the fuzzy control, the fuzzy controller takes the speed error signal and the differential of the speed error signal as input, input the input signal into the fuzzy controller, and then realize fuzzy control through fuzzy reasoning and fuzzy reasoning rules. According to different speed errors, different speed The rate of change of the speed error corresponding to the error, select the appropriate PI parameter. The present invention uses a fuzzy controller to select more suitable PI parameters according to fuzzy reasoning and fuzzy rules in the full speed range and according to the input, so that the system can respond faster when the load or the rotating speed changes suddenly.

Description

technical field [0001] The invention relates to a method for controlling a fuzzy speed controller of an asynchronous motor of a diesel locomotive. Background technique [0002] At present, AC drive systems are widely used in diesel locomotives. Most of the control algorithms use vector control. However, most of the traditional vector control speed control systems use PI control technology with simple structure, but it is often limited to the linear model of the motor, and there is a problem of poor robustness when the load changes in a large range. Especially at low speeds, PI control often cannot quickly follow the given value of speed, resulting in torque error and speed error, and it does not have the function of online parameter self-tuning, therefore, PI control cannot accurately meet the requirements in different conditions. Under working conditions, the system requires self-tuning of parameters, thus affecting the control performance. Therefore, there is a great nee...

AI Technical Summary

Problems solved by technology

For its control algorithm, vector control is mostly used. However, most traditional vector control speed control systems use PI control technology with simple structure, but it is often limited to the linear model of the motor, and there is a problem of poor robustness when the load changes in a large range.

Especially at low speeds, PI control often cannot quickly follow the given value of speed, resulting in torque error and speed error, and it does not have the function of online parameter self-tuning, therefore, PI control cannot accurately meet the requirements in different conditions. Under working conditions, the system requires self-tuning of parameters, which affects control performance

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