Interface circuit design method based on multidisciplinary collaborative optimization and motor simulator system

Abstract

According to the multi-disciplinary collaborative optimization-based interface circuit design method and the motor simulator system provided by the invention, by iteratively executing a system-level and disciplinary collaborative optimization process on LCL type interface circuit parameters, the actual simulation precision requirement of the motor simulator system is met; meanwhile, the design cost and the size of the motor simulator system are also considered, so that parameter design is more reasonable, the defect that in the prior art, design of LCL type and other complex interface structure parameters excessively depends on experience and trial and error is effectively overcome, and the comprehensive performance of the finally designed interface circuit and the motor simulator system is more excellent.

Description

technical field [0001] The invention belongs to the technical field of power stage hardware-in-the-loop testing of motor drive systems, and particularly relates to an interface circuit and a motor simulator system based on multidisciplinary collaborative optimization design. Background technique [0002] At present, motor drive system testing, as a key link in the development of motor control systems, is widely implemented using the motor simulator system, a test platform based on power-level hardware-in-the-loop testing technology. Motor interface characteristics are accurately simulated. The interface circuit is an important part of the motor simulator, which determines the simulation accuracy of the motor simulator to a large extent. However, the parameter design work of the existing interface circuit mainly relies on engineering experience, and it is necessary to obtain the best parameter combination through trial and error. However, this trial-and-error approach has m...

AI Technical Summary

Problems solved by technology

However, the parameter design work of existing interface circuits mainly depends on engineering experience, and it is necessary to get the best parameter combination through trial and error.

However, this trial and error method has many shortcomings such as strong randomness, many trials, and lack of basis for parameter selection, and the final solution may not be the global optimal solution.

For the parameter design of some interface circuits with relatively complex structures (such as LCL type circuits), due to the large number of interface parameters, it is more difficult to obtain the best parameter combination only by engineering experience and trial and error.

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