Control system of maglev train experimental platform based on real-time simulation system

Abstract

The invention discloses a control system of a maglev train experimental platform based on a real-time simulation system. The control system comprises a real-time processor, a suspension sensor, a chopper and a management computer. The suspension sensor inputs a collected signal into the real-time processor; the real-time processor carries out conversion and computing on the signal and outputs a control signals to the chopper; the chopper carries out power amplification on the signal and adjusts the electromagnet current to control the electromagnet's suction; and the management computer carries out communication with the real-time processor via the Ethernet, carries out control scheme designing and compiling by using Simulink and DSPACE real-time simulation system software, downloads a code to the real-time controller, reads the data in the real-time processor, and analyses and reads the data. According to the invention, a convenient and rapid platform is provided for the optimizationand verification of the maglev train control scheme; the complicated suspension control algorithm code writing and the underlying hardware design are avoided; the control algorithm graphical design and automatic compilation are realized; and the algorithm has good readable and reliable performances.

Description

technical field [0001] The invention relates to the field of maglev control, in particular to a control system for a maglev train test bench based on a real-time simulation system. Background technique [0002] The maglev control algorithm is the key technology in the maglev train technology. The research, design and verification of the control algorithm are mostly based on the maglev experimental platform. Designing a reliable, convenient and fast maglev control system is the basis for carrying out experimental research. [0003] Magnetic levitation control technology has gone through two stages: analog controller and digital controller. The early levitation controller was realized by hardware circuit, which is characterized by fast response, but difficult to adjust parameters, and cannot flexibly change the hardware structure according to the algorithm. With the development of DSP (Digital Signal Processing) digital signal processor, most of the control systems of maglev t...

AI Technical Summary

Problems solved by technology

The main problems in this process are: using this method, scholars and engineers need a lot of assembly language and C language to write codes, a lot of underlying hardware drivers and circuit designs, and A / D and D / A conversion module design, it is a waste of energy to carry out such a large amount of hardware driver design and circuit design when carrying out the suspension control algorithm design and optimization; some researchers are not proficient in control circuit knowledge, and this method increases the suspension The design of the control algorithm is difficult; in addition, manual programming also faces the risk of unreliable code, poor code readability, and poor follow-up inheritance, which greatly limits the optimization and verification efficiency of the control algorithm

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