High-Accuracy Dynamic Load Emulation Method for Electrical Drives

Autor(es)

Rodrigues de Oliveira, Carlos Matheus ^[1] ; de Aguiar, Manoel Luis ^[1] ; de Castro, Allan Gregori ^[1] ; Ubaldo Guazzelli, Paulo Roberto ^[1] ; de Andrade Pereira, William Cesar ^[1] ; Boffino de Almeida Monteiro, Jose Roberto ^[1]

Afiliação do(s) autor(es)

^[1] Sch Engn Sao Carlos, Dept Elect & Comp Engn, BR-13566590 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS; v. 67, n. 9, p. 7239-7249, SEP 2020.
• Citações Web of Science: 0

Resumo

This article addresses the problem of dynamic load emulation (DLE) with high accuracy of any mechanical load for which the mathematical model is known. The control strategy of a load machine is used to design tasks of control algorithms of variable speed and torque drives for educational purposes and several engineering applications, as transportation and renewable energy. The structure uses a set-point feed-forward compensator with speed-tracking controller, which provides robustness under parametric variation and nonmodeled dynamics. Nonlinear effects and constraints of the experimental setup shaft can be included in the compensator, which makes the strategy an alternative method for systems operating under different degrees of uncertainty. Moreover, different control approaches can be applied to both compensator and speed controller. The method can be applied with any rotary machines, where two induction motors (IMs) with directly coupling are adopted. The method was compared to two other DLE methods and was validated through nonlinear models whose inertia and friction are not constant. The simulated and experimental results are very similar, even when high uncertainty is assumed. (AU)

• Processo FAPESP: 06/04226-0 - Desenvolvimento de sistema automatizado para aplicação de controle vetorial em máquinas síncronas com imã permanente no rotor com fluxo não senoidal
• Beneficiário: José Roberto Boffino de Almeida Monteiro
• Modalidade de apoio: Auxílio à Pesquisa - Regular