Brushless DC motor control method based on interval type-2 fuzzy variable integral PID

Abstract

The invention discloses a brushless DC motor control method based on interval type-2 fuzzy variable integral PID, and the method comprises the steps: analyzing the behavior decision of a brushless direct current motor rotating speed controller PID, and selecting main factors affecting the decision; determining a factor set influencing the state of the brushless direct current motor; determining acomment set influencing the state of the brushless direct current motor; determining a weight set influencing the state of the brushless direct current motor; carrying out the fuzzy evaluation to determine a comprehensive evaluation matrix; evaluating the current state of the rotating speed PID controller of the brushless direct current motor according to the maximum membership principle; establishing a dynamic rule base by applying a time-varying domain of discourse; determining the PID control parameters according to a dynamic rule base; and correcting the PID control parameters by using a variable integral algorithm to obtain a control voltage. According to the brushless DC motor control method based on interval type-2 fuzzy variable integral PID, the motor rotating speed response can be improved, and the adjusting time can be shortened. And the defects of poor robustness, low influence speed and the like are overcome, so that the motor is more stable and reliable in the operation process.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to a control method for a brushless DC motor based on an interval-type two fuzzy variable integral PID. Background technique [0002] As a new type of motor to replace the traditional DC motor, the brushless DC motor has the advantages of good speed regulation performance, simple structure, and high control efficiency. It is widely used in industrial manufacturing, automobile drive, medical equipment and other fields. With the continuous improvement of motor development and application algorithm capabilities, various control methods have been proposed by all walks of life. At the same time, in order to cope with the complex situations that arise under different working conditions, people also put forward higher requirements for the control system of the brushless DC motor. [0003] The control based on the improved particle swarm algorithm provided by the prior art solves the...

AI Technical Summary

Problems solved by technology

[0003] A control based on the improved particle swarm algorithm provided by the existing technology solves the problems of insufficient optimization speed and easy to fall into local optimum in the process of optimizing PID parameters, and adopts the direct torque control mode of the second-order sliding mode observer

However, this method has problems such as the control structure is too complex and the response accuracy is not high.

The other is based on a type of fuzzy adaptive PID control, which has better robustness and control accuracy, but the ambiguity of information understanding will lead to reduced control accuracy and insufficient dynamic effects after fuzzy processing

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