A method for discrete speed control and explicit predictive control of brushed DC motor

Abstract

The invention discloses a speed discrete control and explicit predictive control method for a DC brush motor. By dividing the whole period of a power switch tube into sub periods, a DC brush motor speed regulating system sub-sampling period discrete state space model can be established and can reflect the intrinsic hybrid characteristics of a DC brush motor speed regulating system. On this basis, a pulse duty cycle is used as a control variable and the DC brush motor speed regulating system is divided into v cases according to the position of a switch, and v discrete state space models within the whole switch tube period T are established and are segmented affine models of the duty cycle. The method reduces the errors caused by an average model in a traditional control scheme, and improves the modeling accuracy by increasing the number of sub periods. Further, the method also overcomes the shortcomings of the traditional control scheme that the dynamic behavior of the system cannot be described in the switch period, and provides a discrete state space model basis for prediction control scheme design.

Description

technical field [0001] This application relates to a method for discrete control and explicit predictive control of DC brushed motor speed. The content of this technical solution has been funded by the National Natural Science Foundation of China (61304095), the Jiangsu Provincial Natural Science Foundation of China (BK20130317), and the Jiangsu Provincial Postdoctoral Research Funding Program (1302103B) grant. Background technique [0002] DC motor is a motor that converts DC electric energy into mechanical energy. It has good speed regulation performance and is widely used in electric drive. It plays a very important role in industry, agriculture, transportation, urban construction, energy saving and environmental protection control. application. According to its structure, DC motors can be divided into two types: brushed and brushless. Among them, brushed DC motors introduce the positive and negative poles of the power supply to the commutator of the rotor through the br...

AI Technical Summary

Problems solved by technology

Therefore, the traditional PI control scheme cannot reflect the inherent hybrid characteristics of the brushed DC motor based on PWM speed regulation, as well as the change process of the internal state of the system within a pulse width period.

Due to the error of the average model, the speed control accuracy is poor, and due to the inherent dynamics of PWM, the algorithm response speed is slow

Due to the shortcomings of its own control structure, the traditional PI control scheme cannot consider the constraints of the system state and output, and cannot achieve optimal control for specific performance indicators, so it cannot adapt to the performance of the current market for brushed DC motor speed control systems. with increasingly stringent requirements for efficiency

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