METHOD FOR ADAPTIVELY ADJUSTING CONTROL PARAMETERS OF BBMC-BASED SPEED REGULATION SYSTEM OF ASYNCHRONOUS MOTOR

Patent №

US 10,936,770

Granted

2021-03-02

Filed 2020

Owner

HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY

Lab

AI components

4

ml · vision · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16909753

A mathematical model between the optimization objects and the optimization objectives is established, with finite-time control parameters as optimization objects, and a total harmonic distortion of an output voltage, a deviation signal of a capacitor voltage and a deviation signal of an output current of BBMC as optimization objectives. A multi-objective optimization satisfaction function and a multi-objective optimization fitness function are established. Multiple sets of optimal finite-time control parameters are iteratively optimized using an adaptive wolf pack algorithm. Functional relationships between respective optimal finite-time control parameters and the corresponding actual output current of BBMC are obtained using a numerical fitting method. Optimal control parameters corresponding to any load are obtained according to the obtained functional relationships. Therefore, the control parameters are adjusted in real time according to the functional relationships and the load of the BBMC-based speed regulation system or the actual output current of BBMC.

Machine learningVisionPlanningEvolutionary computationG06F 30/20G05B 13/042H02M 3/1582H02P 23/00H02P 27/08G06F 2111/10

AI classification

Evolutionary computation1.00
Planning1.00
Machine learning0.98
Vision0.95
AI hardware0.10
Speech0.03
Natural language0.01
Knowledge representation0.01

Ownership

HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY

assignment · 530170853

Assignors

ZHANG, XIAOPING, LIU, JI

On an employer assignment, the assignors are typically the inventors.

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