TY - GEN
T1 - Improved MPCC with Duty Cycle Modulation Strategy for Linear Induction Machines based on Linear Metro
AU - Hamad, Samir A.
AU - Xu, Wei
AU - Liu, Yi
AU - Ali, Mosaad M.
AU - Magdi Ismail, Moustafa
AU - Rodriguez, Jose
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The traditional finite control set-model predictive thrust control (FCS-MPTC) method for linear induction machines (LIMs) needs to find appropriate weighting factor (WF) for adjusting the cost function, which make the control methodology much long and tedious by the huge tuning procedures of possible try cases to obtain the best WF. So two methods are suggested in this work to overcome the tuning prosses and reduce the complexity burden of the control system. The first method is finite control set-model predictive current control (FCS-MPCC I), to get the optimal voltage vector (OVV) depending on the distance between the determined reference voltage vector (RVV) and all of the participant voltage vectors (PVVs) without repetitive enumeration, by determining the sector owns the RVV. The other method is FCS-MPCC II, by applying two voltage vectors during one switching period with adjusting the duty cycle between them, similar to the previous method to found out the OVV. Avoiding redundant comparative all PVVs, only one of the two adjacent active voltage vectors can be selected depending on the sector owns the RVV. Finally, comprehensive simulation and analysis have been made through a whole comparative study between the traditional FCS-MPTC and the two suggested FCS-MPCC methods. Persuasive effectiveness of the proposed FS-MPCC has been verified whereas reduced calculation time and complexity are elaborated based on the proposed search order. Meanwhile, much lower thrust ripples can be further got compared to those of the conventional FCS-MPTC.
AB - The traditional finite control set-model predictive thrust control (FCS-MPTC) method for linear induction machines (LIMs) needs to find appropriate weighting factor (WF) for adjusting the cost function, which make the control methodology much long and tedious by the huge tuning procedures of possible try cases to obtain the best WF. So two methods are suggested in this work to overcome the tuning prosses and reduce the complexity burden of the control system. The first method is finite control set-model predictive current control (FCS-MPCC I), to get the optimal voltage vector (OVV) depending on the distance between the determined reference voltage vector (RVV) and all of the participant voltage vectors (PVVs) without repetitive enumeration, by determining the sector owns the RVV. The other method is FCS-MPCC II, by applying two voltage vectors during one switching period with adjusting the duty cycle between them, similar to the previous method to found out the OVV. Avoiding redundant comparative all PVVs, only one of the two adjacent active voltage vectors can be selected depending on the sector owns the RVV. Finally, comprehensive simulation and analysis have been made through a whole comparative study between the traditional FCS-MPTC and the two suggested FCS-MPCC methods. Persuasive effectiveness of the proposed FS-MPCC has been verified whereas reduced calculation time and complexity are elaborated based on the proposed search order. Meanwhile, much lower thrust ripples can be further got compared to those of the conventional FCS-MPTC.
KW - duty cycle control
KW - linear induction machine (LIM)
KW - Model predictive current control (MPCC)
KW - thrust control
UR - http://www.scopus.com/inward/record.url?scp=85125800841&partnerID=8YFLogxK
U2 - 10.1109/PRECEDE51386.2021.9680996
DO - 10.1109/PRECEDE51386.2021.9680996
M3 - Conference contribution
AN - SCOPUS:85125800841
T3 - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
SP - 35
EP - 40
BT - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
Y2 - 20 November 2021 through 22 November 2021
ER -