Analysis of Complexity Reduction in Kalman Filters Through Decoupling Control With Chattered Inputs in PMSM
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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15th European Workshop on Advanced Control and Diagnosis (ACD 2019): Proceedings of the Workshop Held in Bologna, Italy, on November 21–22, 2019. ed. / Elena Zattoni; Silvio Simani ; Giuseppe Conte. Cham, Switzerland: Springer Nature Switzerland AG, 2022. p. 815-827 (Lecture Notes in Control and Information Sciences - Proceedings book series (LNCOINSPRO)).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Analysis of Complexity Reduction in Kalman Filters Through Decoupling Control With Chattered Inputs in PMSM
AU - Kröger, Dennis
AU - Haus, Benedikt
AU - Mercorelli, Paolo
N1 - Conference code: 15
PY - 2022
Y1 - 2022
N2 - The purpose of this paper is to investigate the idea that by implementing decoupling control algorithms in Permanent Magnet Synchronous Machine (PMSM) controllers, observers like extended Kalman filters (EKFs) can achieve an advantage in computational load. In particular, the KF is designed as a combined state and parameter estimator. The approach is based on the possibility to consider individual electrical current dynamics, together with key system parameters influencing their dynamics, i.e. their inductances Ld, Lq, which is enabled by a decoupling control. Even though the decoupled dynamics are linear, the resulting augmented subsystems, including the inductances as estimation variables, are nonlinear. Furthermore, the paper shows that high-frequency inputs, caused, for example, by control chattering, can enable the EKF-based estimation of the inductances by providing for a never-ending transient phase in the case of the decoupled variant. The computational advantage is ultimately achieved by reducing the complexity of the Kalman filters by around 75%. The results are validated using computer simulations of coupled as well as decoupled control systems, also demonstrating the benefits of chattery input voltages.
AB - The purpose of this paper is to investigate the idea that by implementing decoupling control algorithms in Permanent Magnet Synchronous Machine (PMSM) controllers, observers like extended Kalman filters (EKFs) can achieve an advantage in computational load. In particular, the KF is designed as a combined state and parameter estimator. The approach is based on the possibility to consider individual electrical current dynamics, together with key system parameters influencing their dynamics, i.e. their inductances Ld, Lq, which is enabled by a decoupling control. Even though the decoupled dynamics are linear, the resulting augmented subsystems, including the inductances as estimation variables, are nonlinear. Furthermore, the paper shows that high-frequency inputs, caused, for example, by control chattering, can enable the EKF-based estimation of the inductances by providing for a never-ending transient phase in the case of the decoupled variant. The computational advantage is ultimately achieved by reducing the complexity of the Kalman filters by around 75%. The results are validated using computer simulations of coupled as well as decoupled control systems, also demonstrating the benefits of chattery input voltages.
KW - Engineering
UR - https://www.mendeley.com/catalogue/82dba4e5-1fac-3723-851b-2f63c0b1b950/
U2 - 10.1007/978-3-030-85318-1_47
DO - 10.1007/978-3-030-85318-1_47
M3 - Article in conference proceedings
SN - 978-3-030-85317-4
T3 - Lecture Notes in Control and Information Sciences - Proceedings book series (LNCOINSPRO)
SP - 815
EP - 827
BT - 15th European Workshop on Advanced Control and Diagnosis (ACD 2019)
A2 - Zattoni, Elena
A2 - Simani , Silvio
A2 - Conte, Giuseppe
PB - Springer Nature Switzerland AG
CY - Cham, Switzerland
T2 - Conference - 15th European Workshop on Advanced Control and Diagnosis (ACD 2019)
Y2 - 21 November 2019 through 22 November 2019
ER -