Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors
TLDR
This article proposes a data-driven, real-time capable recursive least squares estimation method for the current control of a permanent magnet synchronous motor that shows superior performance compared to a FCS-MPC-based on a state-of-the-art WB motor model using look-up tables for adressing (cross-)saturation.Abstract:
The performance of model predictive controllers (MPC) strongly depends on the quality of their models. In the field of electric drive control, white-box (WB) modeling approaches derived from first-order physical principles are most common. This procedure typically does not cover parasitic effects and often comes with parameter deviations. These issues are particularly crucial in the domain of self-commissioning drives where a hand-tailored, accurate WB plant model is not available. In order to compensate for such modeling errors and, consequently, to improve the control performance during transients and steady state, this article proposes a data-driven, real-time capable recursive least squares estimation method for the current control of a permanent magnet synchronous motor. Following this machine learning approach, the effect of the flux linkage and voltage harmonics due to the winding scheme can also be taken into account through suitable feature engineering. Moreover, a compensating scheme for the interlocking time of the inverter is proposed. The resulting algorithm is investigated using the well-known finite-control-set MPC (FCS-MPC) in the rotor-oriented coordinate system. The extensive experimental results show the superior performance of the presented scheme compared to a FCS-MPC-based on a state-of-the-art WB motor model using look-up tables for adressing (cross-)saturation.read more
Citations
More filters
Journal ArticleDOI
Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
Zi-Qiang Zhu,Dawei Liang,Kan Liu +2 more
Abstract: Online parameter estimation of permanent magnet synchronous machines is critical for improving their control performance and operational reliability. This paper provides an overview of the recent achievements of online parameter estimation of PMSMs with examples. The critical issues in parameter estimation are firstly analysed, especially the rank-deficient issue and inverter nonlinearities. Then, the state-of-the-art online parameter estimation modelling techniques are reviewed and assessed. Finally, some typical applications and examples are outlined, e.g. estimation of mechanical parameters, improvement of sensored and sensorless control performance, thermal condition monitoring, and fault diagnosis, together with future research trends.
Peer ReviewDOI
Data-Driven Continuous-Set Predictive Current Control for Synchronous Motor Drives
TL;DR: In this article , the transition from model-based to data-driven optimal control strategies for electric motor drives is discussed, and the authors present a data-enabled predictive control approach, in which raw data are not encoded into a model but directly used in the controller.
Journal ArticleDOI
Data-Driven Continuous-Set Predictive Current Control for Synchronous Motor Drives
TL;DR: In this article , the transition from model-based to data-driven optimal control strategies for electric motor drives is discussed, and the authors present a data-enabled predictive control approach, in which raw data are not encoded into a model but directly used in the controller.
Journal ArticleDOI
A Fuzzy Approximation for FCS-MPC in Power Converters
TL;DR: In this article , a robust model predictive control framework, endowed with the merits of fuzzy logic system and finite control-set model predictive controller solution, is proposed to enhance the system robustness while guaranteeing adaptability to different conditions.
Journal ArticleDOI
Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors
TL;DR: A torque estimation method based on online differential inductances identification in combination with a data-driven finite-control-set (FCS) model predictive current control (MPCC) that can be realized without knowledge of exact motor parameters except the permanent magnet flux as a datasheet parameter is proposed.
References
More filters
Journal ArticleDOI
Regression Shrinkage and Selection via the Lasso
TL;DR: A new method for estimation in linear models called the lasso, which minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a constant, is proposed.
Journal ArticleDOI
Predictive Control in Power Electronics and Drives
TL;DR: A simple classification of the most important types of predictive control is introduced, and each one of them is explained including some application examples.
Journal ArticleDOI
State of the Art of Finite Control Set Model Predictive Control in Power Electronics
Jose Rodriguez,Marian P. Kazmierkowski,Jose Espinoza,Pericle Zanchetta,Haitham Abu-Rub,Hector Young,Christian A. Rojas +6 more
TL;DR: The paper shows how the use of FCS-MPC provides a simple and efficient computational realization for different control objectives in Power Electronics.
Journal ArticleDOI
Model Predictive Control: A Review of Its Applications in Power Electronics
Sergio Vazquez,Jose I. Leon,Leopoldo G. Franquelo,Jose Rodriguez,Hector Young,Abraham Marquez,Pericle Zanchetta +6 more
TL;DR: Model-based predictive control (MPC) for power converters and drives is a control technique that has gained attention in the research community as mentioned in this paper, and it can easily handle multivariable case and system constraints and nonlinearities in a very intuitive way.
Journal ArticleDOI
Delay Compensation in Model Predictive Current Control of a Three-Phase Inverter
TL;DR: The problem is described, the solution to this issue is clearly explained using a three-phase inverter as an example, and experimental results to validate this solution are shown.
Related Papers (5)
Predictive current control for Permanent Magnet Synchronous Motor based on deadbeat control
Li Niu,Ming Yang,Dianguo Xu +2 more