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Modeling and simulation of power electronics and motor control systems [Copy link]

 

Based on MATLAB, "Modeling and Simulation of Power Electronics and Motor Control Systems" introduces the MATLAB electrical system model library module and its functions, and introduces the modeling and simulation methods of power electronics and motor control systems with examples, including various conversion circuits of AC/DC, DC/DC, DC/AC, AC/AC, DC speed regulation system and AC speed regulation system. In order to adapt to the development of modern digital control systems, "Modeling and Simulation of Power Electronics and Motor Control Systems" introduces the modeling and simulation methods of sampled discrete systems in addition to the modeling and simulation of continuous systems.

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The modeling and simulation of power electronics and motor control systems is a comprehensive and complex process, covering comprehensive simulation from physical principles to control strategies. The modeling part is mainly based on physical modeling technology and black box modeling technology. Through the abstraction and simulation of the various components of the power electronics system and the in-depth analysis of the motor type, a mathematical model that can reflect the overall performance and characteristics of the system is constructed. These models not only consider the internal structure of the system, but also focus on its input-output relationship to fully capture the dynamic behavior of the system. In terms of simulation, power electronics and motor control system simulation uses discrete-time simulation and continuous-time simulation technology, and uses professional simulation software such as Saber, Matlab/Simulink, etc. to perform numerical analysis and experimental verification on system models. These software provide a wealth of simulation tools and modules to support the implementation of complex control strategies, and provide strong support for system design and optimization by predicting the performance of the system under different conditions. The Easygo power electronics semi-physical simulation platform provides strong support for the modeling and simulation of power electronics and motor control systems with its high-performance hardware configuration, real-time simulation capabilities, rich IO interfaces, multi-functional real-time simulation and powerful cascade parallel expansion capabilities.   Details Published on 2024-5-31 15:19
 
 

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The modeling and simulation of power electronics and motor control systems is a comprehensive and complex process, covering comprehensive simulation from physical principles to control strategies. The modeling part is mainly based on physical modeling technology and black box modeling technology. Through the abstraction and simulation of the various components of the power electronics system and the in-depth analysis of the motor type, a mathematical model that can reflect the overall performance and characteristics of the system is constructed. These models not only consider the internal structure of the system, but also focus on its input-output relationship to fully capture the dynamic behavior of the system.

In terms of simulation, power electronics and motor control system simulation uses discrete-time simulation and continuous-time simulation technology, and uses professional simulation software such as Saber, Matlab/Simulink, etc. to perform numerical analysis and experimental verification on system models. These software provide a wealth of simulation tools and modules to support the implementation of complex control strategies, and provide strong support for system design and optimization by predicting the performance of the system under different conditions. The Easygo power electronics semi-physical simulation platform provides strong support for the modeling and simulation of power electronics and motor control systems with its high-performance hardware configuration, real-time simulation capabilities, rich IO interfaces, multi-functional real-time simulation and powerful cascade parallel expansion capabilities.

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