Backward numerical integration method for nonlinear system

Qiao, Hao; Li, Zenghao; Sun, Peng; Xin-guo, LI

doi:10.1109/icspcc.2017.8242509

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Identification Stage In the Bldc Motor1

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2022

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“…This problem is constrained by the BLDC motor model (16) with its final conditions (17), and the bound interval [ Θmin , Θmax ] (18) of the parameter vector Θ. A backward numerical integration method [55] is used to the solution of the differential equation of the motor model.…”

Section: Identification Stage In the Bldc Motormentioning

confidence: 99%

Optimal Tuning of the Speed Control for Brushless DC Motor Based on Chaotic Online Differential Evolution

et al. 2022

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The efficiency in the controller performance of a BLDC motor in an uncertain environment highly depends on the adaptability of the controller gains. In this paper, the chaotic adaptive tuning strategy for controller gains (CATSCG) is proposed for the speed regulation of BLDC motors. The CATSCG includes two sequential dynamic optimization stages based on identification and predictive processes, and also the use of a novel chaotic online differential evolution (CODE) for providing controller gains at each predefined time interval. Statistical comparative results with other tuning approaches evidence that the use of the chaotic initialization based on the Lozi map included in CODE for the CATSCG can efficiently handle the disturbances in the closed-loop system of the dynamic environment.

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Section: Identification Stage In the Bldc Motormentioning

confidence: 99%