Servo system controller and control method

Abstract

The invention relates to a servo system controller and a control method. The servo system controller comprises a servo system parameter storage part, a parameter calculation part, an initial signal acquisition part, a feedback sensing part and a correction part, wherein a shear frequency of a servo system, a target operating value and a phase margin are stored in the servo system parameter storage part; the parameter calculation part is used for respectively calculating a differential gain, a proportional gain and a differential degree according to the shear frequency and the phase margin; the initial signal acquisition part is used for acquiring an initial control signal for controlling the servo system to start to operate when the servo system is in a startup state according to the differential gain, the proportional gain and the differential degree; the servo system starts to operate according to the initial control signal; the feedback sensing part is used for sensing the action of the servo system and sending a corresponding action feedback signal according to the action; the correction part is used for acquiring an action correction signal for correcting the servo system according to the action feedback signal, the target operating value, the differential gain, the proportional gain and the differential degree; and the servo system is regulated to operate according to the correction signal, so that the action accuracy of the servo system is ensured.

Description

technical field [0001] The invention relates to a servo system controller and a control method. Background technique [0002] The servo system occupies a very important position in the field of automatic control. It is a feedback control system whose controlled quantities are displacement, speed, and acceleration, and can accurately follow a certain control process. In addition, the working environment of some servo systems is complex, and the system has relatively large uncertainties and hysteresis, as well as changes in inertial loads during the work process, which are typical nonlinear systems. At present, the controllers used in servo systems based on automatic control technology are mostly traditional PID controllers, fuzzy adaptive controllers, and neural network controllers. The control method of the traditional PID controller is too simple, and the control performance of the parameters also has certain limitations. Although the traditional PID controller realizes th...

AI Technical Summary

Problems solved by technology

The control method of the traditional PID controller is too simple, and the control performance of the parameters also has certain limitations. Although the traditional PID controller realizes the control performance by three parameters, its differential order is 1st order, so the type of the control system is relatively fixed. , for a fractional order system controlled by a traditional PID controller, there will be a large error, and the control effect sometimes fails to meet the control accuracy requirements

Therefore, for nonlinear and hysteresis servo systems, it is often difficult to meet the requirements of the system for robustness and stability by using conventional controllers.

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