Finite control set model prediction control method considering switching frequency optimization

Abstract

The invention discloses a finite control set model prediction control method considering switching frequency optimization. The method comprises: firstly, detecting a system state variable, and using an integrator for obtaining the continuous period number of a control signal; secondly, predicting the future state of the system and the continuous period number of the control signals by using the system state prediction model and the continuous period number prediction model of the control signals; and finally, evaluating the voltage vector of the converter by using the value function combined with the control signal constraint term, selecting the voltage vector which minimizes the value function as the optimal voltage vector, and acting on the converter. According to the finite control set model predictive control algorithm considering switching frequency optimization, the switching frequency of a system is controlled through a method for predicting and constraining the number of duration periods of control signals, and the defect that the switching frequency is not fixed in a traditional finite control set model predictive control algorithm is overcome.

Description

technical field [0001] The invention relates to a limited control set model predictive control algorithm considering switching frequency optimization, which belongs to the field of motor control. Background technique [0002] With the development of power electronics technology and high-performance microprocessors, high-performance control algorithms have been widely concerned by scholars. Model predictive control has the advantages of simple control idea, fast dynamic response, and easy realization of multi-objective control, and has become a research hotspot at home and abroad. As an important branch of model predictive control, finite control set model predictive control fits the discrete characteristics of power electronic converters, and has been widely used in the fields of motor drives and power converters. However, traditional finite control set model predictive control only selects one voltage vector for a single control cycle, and the switching frequency of the sy...

AI Technical Summary

Problems solved by technology

However, the traditional finite control set model predictive control only selects one voltage vector for a single control period, and the switching frequency of the system changes with the working conditions such as load and speed, which brings great difficulties to the design of the output filter.

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