A Control Method of Motor Controller Based on Parameter Self-tuning

Abstract

The invention discloses a motor controller based on a parameter self-tuning and its control method, and relates to the field of motor control system devices. The motor controller and its control method based on a parameter self-tuning identify the moment of inertia of the system in advance , the controlled system is divided into the first-order inertial link and the second-order inertial link, and the control parameters of the PID controller are self-tuned, which is more practical in engineering. The controller has good motor control performance, and can self-tune the control parameters to obtain the optimal parameters of the motor control system, so that the motor control system can adapt to more complex working conditions and meet the user's high-performance index requirements. The value of theoretical research and the significance of engineering practice. It can be widely used in various industries such as intelligent wheelchair control, unmanned lawn mowers, industrial automation, and national defense aviation.

Description

technical field [0001] The invention relates to the field of motor control system devices, in particular to a control method of a motor controller based on parameter self-tuning. Background technique [0002] With the rapid development of industries such as national defense, aviation, intelligent industry, and industrial control, the demand for motor control systems is also increasing. At the same time, higher requirements are put forward for the motor control system. excellent performance. Therefore, the development of a high-performance motor drive system with excellent adaptability has very significant economic and social benefits. [0003] At present, the parameter setting work of most types of controllers is mainly done manually. It is time-consuming and laborious to adjust the controller parameters multiple times by observing the law of the system’s operating state under different parameters, and the effect of parameter setting is not good. Operators have higher requ...

AI Technical Summary

Problems solved by technology

[0003] At present, the parameter setting work of most types of controllers is mainly done manually. It is time-consuming and laborious to adjust the controller parameters multiple times by observing the law of the system’s operating state under different parameters, and the effect of parameter setting is not good. Operators have higher requirements

If the result of parameter tuning is not satisfactory, the system will be put into use, which will greatly affect the performance of the system, and even cause the system to be unstable.

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