A frequency converter intelligent control optimization method and system

By using a frequency converter system with a shared DC bus and independent inverter units, combined with a virtual motor model and a power arbitration allocation mechanism, the problem of independent energy efficiency optimization and global dynamic power coordination for multiple heterogeneous motors was solved, achieving stable system operation and energy consumption optimization.

CN122292948APending Publication Date: 2026-06-26GOLDBELL ELECTRIC DRIVES & CONTROLS SHENZHEN CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GOLDBELL ELECTRIC DRIVES & CONTROLS SHENZHEN CO LTD
Filing Date
2026-04-07
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

In existing technologies, a single frequency converter cannot independently optimize the energy efficiency of multiple heterogeneous motors, and it cannot perform global dynamic power scheduling when the total power supply of the system is limited, which makes the system prone to overall collapse due to local heavy load.

Method used

Multiple heterogeneous motors are driven by a shared DC bus and N independent inverter units connected in parallel to the rear of the DC bus. Real-time simulation and optimization calculations are performed through a virtual motor model. Combined with an arbitration allocation mechanism based on power limits and multi-dimensional weight labels, independent control and overall energy management are achieved.

Benefits of technology

It enables independent control of multiple heterogeneous motors and minimizes individual energy consumption, improving the system's robustness and global energy scheduling capabilities, preventing overall system downtime, and meeting the safety requirements of industrial production.

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Abstract

This invention relates to the field of motor drive and industrial control technology, specifically to an intelligent control optimization method and system for frequency converters. The aim is to solve the technical problems in existing technologies where a single frequency converter cannot independently optimize the energy efficiency of multiple heterogeneous motors and cannot coordinate scheduling to avoid system downtime under limited power conditions. The technical solution is as follows: N virtual motor models are established in the controller, and the actual stator current and speed are collected in real time and input into the models. Each model is constructed with the objective function of minimizing the sum of iron loss and copper loss as the objective function for online optimization, calculating the optimal control command and expected power demand. The controller summarizes the total demand and performs arbitration allocation based on power limits. Depending on whether the demand exceeds the limit, the optimal command is directly adopted or a degradation allocation algorithm based on multi-dimensional weight labels is executed to determine the target control command. Finally, multiple independent PWM signals are generated to control each inverter unit.
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