Air conditioner compressor torque compensation method and device based on DQN network and air conditioner

By applying DQN-based agents to perform torque compensation calculations in the air conditioning compressor, the problems of manual calculation dependence and inefficiency in the prior art are solved, and fast and efficient torque compensation is achieved, reducing the impact of vibration.

CN119755771APending Publication Date: 2025-04-04QINGDAO HAIER AIR CONDITIONER GENERAL CORP LTD +1
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Patent Information

Application Number
CN202411953355.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-27
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

In the prior art, compressor torque compensation mainly relies on manual calculations, and there are problems of experience dependence and low calculation efficiency, making it difficult to quickly adapt to the changes in compressor operating frequency.

Method used

Using an agent based on a deep Q learning network (DQN) to initialize the network weights of the compressor vibration numerical test environment and torque compensation model, the action values ​​generated by the agent based on the current state are obtained, and input them into the test environment for compressor control and vibration numerical acquisition, and optimize the generation strategy until the torque compensation parameters that meet preset requirements are obtained.

Benefits of technology

The calculation of compressor torque compensation is quickly completed, the calculation efficiency is improved, and the impact of the pipe group on outdoor unit vibration is significantly reduced.

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Abstract

The invention provides an air conditioner compressor torque compensation method and device based on a DQN network and an air conditioner, and is applied to the technical field of air conditioner design. The method comprises the steps that a compressor vibration numerical value testing environment and the network weight of a compressor torque compensation model are initialized; inputting an action value generated by an intelligent agent of the compressor torque compensation model based on a current state into a compressor vibration numerical value test environment, performing compressor vibration numerical value acquisition on the action value output by the intelligent agent by using the compressor vibration numerical value test environment, and optimizing a generation strategy of the intelligent agent based on an obtained observation value; and the air conditioner compressor torque compensation parameters meeting the preset requirements are obtained. According to the air conditioner compressor torque compensation method and device based on the DQN and the air conditioner, calculation of compressor torque compensation is rapidly completed, the calculation efficiency is improved, and the influence of a pipe set on vibration of an outdoor unit can be greatly reduced.
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