Predictive torque control of induction motor drive

Habibullah, M; Xiao, D; Rahman, MF; Lu, DDC

Predictive torque control of induction motor drive

Habibullah, M Xiao, D Rahman, MF Lu, DDC

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Publication Type:: Chapter
Citation:: Modeling, Simulation and Control of Electrical Drives, 2019, pp. 545-577
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Habibullah, M
dc.contributor.author	Xiao, D
dc.contributor.author	Rahman, MF
dc.contributor.author	Lu, DDC
dc.date.accessioned	2023-01-03T22:21:31Z
dc.date.available	2023-01-03T22:21:31Z
dc.date.issued	2019-01-01
dc.identifier.citation	Modeling, Simulation and Control of Electrical Drives, 2019, pp. 545-577
dc.identifier.isbn	9781785615870
dc.identifier.uri	http://hdl.handle.net/10453/164656
dc.description.abstract	This chapter summarizes the application of Model Predictive Control (MPC) technique to a two-level inverter driven induction motor (IM) drive. There are two types of MPC: continuous control set MPC (CCS-MPC) and finite control set MPC (FCS-MPC). In CCS-MPC, the controller generates a continuous output for a modulator, and the modulator generates the switching signals for the inverter to generate the required voltage. Conversely, in FCS-MPC, the finite number of control actions available in the system - inverter switching states for motor drives - is evaluated against the desired control objectives. The outputs of the controller are discrete and are directly used to switch the power switches on/off in the inverter. The finite-state predictive torque control (FS-PTC) of motor drives is an FCS-MPC strategy. In FS-PTC, torque and stator flux are predicted for the finite number of admissible switching states of a voltage source inverter (VSI). In this study, a two-level VSI (2L-VSI) is considered to produce the necessary voltage vectors. Experimental results illustrate that FS-PTC algorithm yields good performance in terms of torque and flux ripple, stator current THD, robustness against load torque disturbance, step torque response and step speed response.
dc.language	en
dc.relation.ispartof	Modeling, Simulation and Control of Electrical Drives
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Predictive torque control of induction motor drive
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-01-03T22:21:30Z
pubs.publication-status	Published

Abstract:

This chapter summarizes the application of Model Predictive Control (MPC) technique to a two-level inverter driven induction motor (IM) drive. There are two types of MPC: continuous control set MPC (CCS-MPC) and finite control set MPC (FCS-MPC). In CCS-MPC, the controller generates a continuous output for a modulator, and the modulator generates the switching signals for the inverter to generate the required voltage. Conversely, in FCS-MPC, the finite number of control actions available in the system - inverter switching states for motor drives - is evaluated against the desired control objectives. The outputs of the controller are discrete and are directly used to switch the power switches on/off in the inverter. The finite-state predictive torque control (FS-PTC) of motor drives is an FCS-MPC strategy. In FS-PTC, torque and stator flux are predicted for the finite number of admissible switching states of a voltage source inverter (VSI). In this study, a two-level VSI (2L-VSI) is considered to produce the necessary voltage vectors. Experimental results illustrate that FS-PTC algorithm yields good performance in terms of torque and flux ripple, stator current THD, robustness against load torque disturbance, step torque response and step speed response.

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http://hdl.handle.net/10453/164656