Speed Sensorless Model Predictive Torque Control of Induction Motors Using a Modified Adaptive Full-Order Observer

Autor:	Ngoc-Duc Nguyen, Changwoo Yoon, Young Il Lee, Nguyen Ngoc Nam
Rok vydání:	2022
Předmět:	Electronic speed control Model predictive control Observer (quantum physics) Rate of convergence Control and Systems Engineering Control theory Computer science Torque Function (mathematics) State observer Electrical and Electronic Engineering Induction motor
Zdroj:	IEEE Transactions on Industrial Electronics. 69:6162-6172
ISSN:	1557-9948 0278-0046
Popis:	In this paper, a new design of the state observer is proposed to reduce the unstable low-speed region of the adaptive full-order observer (AFO) based speed sensorless speed control of induction motors (IM). The proposed state observer is designed in z-domain rather than in s-domain following the pole-placement approach. The convergence rate of the proposed observer can be made faster than that of the IM poles without extra oscillation effects and the unstable low-speed region of AFO can be reduced to the zero-synchronous-frequency (ZSF) line. Also, a modified adaptation law of the AFO is derived to estimate the rotor speed. Based on the modified AFO, a continuous control set model predictive control (CCS-MPC) is designed for the inner-loop torque control. The cost function of the CCS-MPC is made of the predicted tracking errors on the state and control input. Finally, the dual-loop speed sensorless speed control using the modified AFO and CCS-MPC is presented in simulations and experiments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5b121ed8a853ccaf0707d011386d2fef https://doi.org/10.1109/tie.2021.3094493 Zobrazit plný text záznamu