Quasi-proportional resonance controller parameter adjusting method and system

Abstract

The invention discloses a quasi-proportional resonance controller parameter adjustment method. The method comprises the following steps of: obtaining models of an inverter and a load, and adjusting areinforcement learning training environment by taking the models as parameters; constructing a depth deterministic strategy gradient reinforcement learning framework, and defining depth deterministicstrategy gradient reinforcement learning framework parameters, wherein the deep deterministic strategy gradient reinforcement learning framework parameters comprise a state, an action and a reward value; and training the intelligent agent of the parameter adjustment reinforcement learning framework in the parameter adjustment reinforcement learning training environment. According to the method forsetting control parameters of the multi-parallel quasi-proportional resonance controller based on the reinforcement learning method, because the reinforcement learning control algorithm is not sensitive to the mathematical model and the operation state of the controlled object, the self-learning capability of the reinforcement learning control algorithm has strong adaptability and robustness to parameter change or external interference, the control requirement can be met when the multi-quasi-proportional resonance controller is connected in parallel, and the control effect can be ensured whenthe load is changed.

Description

technical field [0001] The invention relates to the technical field of automation, in particular to a method and system for adjusting parameters of a quasi-proportional resonance controller. Background technique [0002] The quasi-proportional resonant control can realize the seamless tracking of the AC quantity, and is widely used in the inverter control. When the inverter outputs AC quantities of multiple frequency points, multiple quasi-proportional resonant controllers need to be connected in parallel. The multi-parallel quasi-proportional resonant controller has many control parameters and complex tuning, especially when the load changes, the fixed control parameters of the quasi-proportional resonant controller often cannot meet the control requirements. [0003] The control parameters of the current multi-parallel quasi-proportional resonant controllers mostly rely on classical control theory methods such as Bode diagrams, and the tuning is complicated; and the tunin...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a quasi-proportional resonant controller parameter adjustment method and system to solve the problem of poor control effect of multi-parallel quasi-proportional resonant controllers in the prior art

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