TY - JOUR
T1 - Adaptive Linear Predictive Deadbeat Control Against Machine Parameter Uncertainty of SPMSM Drives for Electric Vehicles
AU - Zhang, chao
AU - Wang, Dong
AU - Lu, Kaiyuan
PY - 2025
Y1 - 2025
N2 - A fast and accurate torque/current response is important for optimizing the efficiency of electric vehicles and promptly implementing braking instructions in emergencies. Deadbeat predictive control has attracted much attention in electrical drives for electric vehicles due to its excellent dynamic performance. However, parameter mismatch significantly influences the performance of conventional deadbeat predictive controllers. Existing solutions can effectively suppress the steady-state error caused by parameter mismatch, but their abilities to improve transient performance against parameter uncertainty are limited. To address this issue, an adaptive linear predictive current deadbeat controller for SPMSM drives is proposed in this manuscript. The actual current response characteristic is first tested by applying a test voltage vector. Thereafter, the final required voltage command, which can bring the current to its new reference, is determined by utilizing the actual machine current response characteristic derived from the test voltage vector. The proposed method is simple to implement and can be combined with many advanced methods to achieve both satisfactory dynamic and steady-state performances against parameter uncertainty. The effectiveness and compatibility of the proposed method have been verified by comparing it with other two advanced deadbeat predictive control methods under different dynamic and parameter mismatch conditions.
AB - A fast and accurate torque/current response is important for optimizing the efficiency of electric vehicles and promptly implementing braking instructions in emergencies. Deadbeat predictive control has attracted much attention in electrical drives for electric vehicles due to its excellent dynamic performance. However, parameter mismatch significantly influences the performance of conventional deadbeat predictive controllers. Existing solutions can effectively suppress the steady-state error caused by parameter mismatch, but their abilities to improve transient performance against parameter uncertainty are limited. To address this issue, an adaptive linear predictive current deadbeat controller for SPMSM drives is proposed in this manuscript. The actual current response characteristic is first tested by applying a test voltage vector. Thereafter, the final required voltage command, which can bring the current to its new reference, is determined by utilizing the actual machine current response characteristic derived from the test voltage vector. The proposed method is simple to implement and can be combined with many advanced methods to achieve both satisfactory dynamic and steady-state performances against parameter uncertainty. The effectiveness and compatibility of the proposed method have been verified by comparing it with other two advanced deadbeat predictive control methods under different dynamic and parameter mismatch conditions.
KW - Permanent magnet synchronous motor
KW - adaptive linear prediction
KW - deadbeat predictive current control
KW - dynamic response
KW - parameter mismatch
UR - http://www.scopus.com/inward/record.url?scp=85210287196&partnerID=8YFLogxK
U2 - 10.1109/JESTPE.2024.3498337
DO - 10.1109/JESTPE.2024.3498337
M3 - Journal article
SN - 2687-9735
JO - IEEE Journal of Emerging and Selected Topics in Industrial Electronics
JF - IEEE Journal of Emerging and Selected Topics in Industrial Electronics
ER -