Low-frequency quick finite set model prediction control method applied to power electronic system

Abstract

The invention discloses a low-frequency quick finite set model prediction control method applied to a power electronic system. On the basis of traditional finite set model prediction control, the minimal switching times of a switch device serve as a principle, at most one numerical value of a switch function for the power electronic system at adjacent sampling time is expected to change, and according to the principle, a switch function set which is expected to appear at the current sampling time is determined as a control set; and at the current sampling time, according to a calculation time sequence, the optimal switch function at the former sampling time and the optimal switch function at the current sampling time are affected. According to the low-frequency quick finite set model prediction control method applied to the power electronic system, which advantages of the traditional finite set model prediction control are kept, the algorithm is simplified and quick, and the switch loss is low.

Description

technical field [0001] The invention relates to the technical field of power electronic conversion and intelligent control, in particular to a low-frequency fast finite set model predictive control method applied to power electronic systems. Background technique [0002] With the development of economy and society, power electronic systems play an irreplaceable role in production and life, but the harmonic pollution and energy loss caused by the extensive use of power electronic areas of focus. Among them, the control technology in the power electronic system directly affects the performance of the converter, and also directly affects the harmonics and power loss, so the power electronic control technology is a hot spot in current research. [0003] The current common control strategies for power electronic systems include: hysteresis comparison control, model predictive control, current prediction control, feedforward decoupling control, direct power control, etc., but the...

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Problems solved by technology

[0003] Common control strategies for power electronic systems include: hysteresis comparison control, model predictive control, current prediction control, feedforward decoupling control, direct power control, etc., but these controls still have shortcomings: simple hysteresis comparison control The input current ripple is still relatively large, and the control performance and switching frequency are greatly affected by the loop width; while the feedforward decoupling control is linear control, which requires some parameter settings, and the addition of SVPWM or SPWM links, the algorithm is complex; current Predictive control is greatly affected by changes in system operating parameters, and it is easy to get out of control; direct power control depends on the switch table, which is likely to be out of touch with the actual operation and cause performance deterioration; although the traditional finite set model predictive control has a fast dynamic response, the algorithm is online. A large amount causes delay to affect the control effect. In addition, a higher switching frequency is required to have a better control effect, and the switching loss is large.

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