Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control

This contribution considers a torque control scheme consisting of model predictive control (MPC) in the inner control loop together with PI reference governor in the outer control loop and a decoupling feedforward control for an isotropic permanent magnet synchronous machine (PMSM). This innovative approach is known in literature as PI-MPC dual loop control. A particular emphasis is given to the control governor strategy which is the outer loop PI reference governor and allows to regulate the machine in the flux weakening region and is therefore only active for field weakening. In this context the analysis of the stability based on Lyapunov’ approach of the control loop in flux weakening region is shown. The desired currents represent the reference currents for the MPC, which forms the inner control loop. The MPC is adapted using an extended Kalman filter (EKF), which estimates inductance of the electrical system in d q coordinates by using a bivariate polynomial. Compared measurements with a hardware-in-the-loop (HIL) system show the effectiveness of the proposed control scheme with respect to a standard PI controller in inner loop (PI-PI scheme) in the presence of saturated inputs and state of a PMSM. The proposed MPC uses just an optimal, proportional control and thus avoids windup effects. Measurement results in the presence of input and state saturations show that MPC is working without overshoot in the currents which leads to less needed power in input. • A saturation in the inductance which is generated by higher currents together with an input voltage saturation. • An EKF is adapted to estimate the inductance of the PMSM and to adjust a proposed PI-MPC. • A PI-MPC is carried out for constant torque and for constant power region. • Soft switching between the regiones is handled by a Sigmoid function. • An MPC strategy which works together with a PI reference governor in an outer control loop during field weakening in constant power region. • A proof of a theorem concerning the stability of the proposed PI-MPC control scheme for the constant power region is given. • Measured results using HIL are presented, in which the results in terms of torque control of the proposed PI-MPC are compared with a PI-PI controller.

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Publication Details

Journal
Mathematics and Computers in Simulation
Published
2024-08-31
DOI
https://doi.org/10.1016/j.matcom.2024.08.006
Citations
9
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
2.95
Controls
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article

Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control

Paolo Mercorelli, Tanja Zwerger
9 citations
Mathematics and Computers in Simulation
Iterative Learning Control Systems
2.95
article

Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control

Paolo Mercorelli, Tanja Zwerger
article en
9 citations

Abstract

This contribution considers a torque control scheme consisting of model predictive control (MPC) in the inner control loop together with PI reference governor in the outer control loop and a decoupling feedforward control for an isotropic permanent magnet synchronous machine (PMSM). This innovative approach is known in literature as PI-MPC dual loop control. A particular emphasis is given to the control governor strategy which is the outer loop PI reference governor and allows to regulate the machine in the flux weakening region and is therefore only active for field weakening. In this context the analysis of the stability based on Lyapunov’ approach of the control loop in flux weakening region is shown. The desired currents represent the reference currents for the MPC, which forms the inner control loop. The MPC is adapted using an extended Kalman filter (EKF), which estimates inductance of the electrical system in d q coordinates by using a bivariate polynomial. Compared measurements with a hardware-in-the-loop (HIL) system show the effectiveness of the proposed control scheme with respect to a standard PI controller in inner loop (PI-PI scheme) in the presence of saturated inputs and state of a PMSM. The proposed MPC uses just an optimal, proportional control and thus avoids windup effects. Measurement results in the presence of input and state saturations show that MPC is working without overshoot in the currents which leads to less needed power in input. • A saturation in the inductance which is generated by higher currents together with an input voltage saturation. • An EKF is adapted to estimate the inductance of the PMSM and to adjust a proposed PI-MPC. • A PI-MPC is carried out for constant torque and for constant power region. • Soft switching between the regiones is handled by a Sigmoid function. • An MPC strategy which works together with a PI reference governor in an outer control loop during field weakening in constant power region. • A proof of a theorem concerning the stability of the proposed PI-MPC control scheme for the constant power region is given. • Measured results using HIL are presented, in which the results in terms of torque control of the proposed PI-MPC are compared with a PI-PI controller.

Mathematics and Computers in SimulationVol. 228
Leuphana University of Lüneburg (DE), ZF Friedrichshafen (Germany) (DE)
Openalex Percentile: Top 9%
Iterative Learning Control Systems
2.95
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