Hamiltonian-Based Hybrid Control of Permanent Magnet Synchronous Motor Drives for DC Microgrid Applications

This paper presents a Hamiltonian-based hybrid control strategy of permanent magnet synchronous motor (PMSM) drives for DC microgrid applications. Conventional field-oriented and direct torque control schemes often struggle with constant power load (CPL) conditions, which introduce negative impedance and destabilize the DC bus. To overcome this, the proposed method integrates Hamiltonian energy control with second-order homogeneous tracking control. The Hamiltonian framework provides energy shaping and damping injections to ensure global stability, while the tracking controller eliminates steady-state speed errors and improves dynamic response. An extended Hamiltonian model with integral action is also introduced to guarantee accurate q-axis current regulation without relying on complex interconnection gains. Experimental tests on a real PMSM using a dSPACE MicroLabBox confirm the effectiveness of the approach, demonstrating smooth acceleration, robust speed regulation underload disturbances, and stable performance during speed reversal. These results highlight the practicality of Hamiltonian-based hybrid control for advanced EV and microgrid applications.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3641642
Primary Topic
Control and Stability of Dynamical Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hamiltonian-Based Hybrid Control of Permanent Magnet Synchronous Motor Drives for DC Microgrid Applications

Ehsan Jamshidpour, Pongsiri Mungporn, Burin Yodwong, Nicu Bizon et al.
IEEE Access
Control and Stability of Dynamical Systems
article

Hamiltonian-Based Hybrid Control of Permanent Magnet Synchronous Motor Drives for DC Microgrid Applications

Ehsan Jamshidpour, Pongsiri Mungporn, Burin Yodwong, Nicu Bizon, Thong-In Suyata, Phatiphat Thounthong, Matheepot Phattanasak, Serge Pierfederici, Babak Nahid‐Mobarakeh
article en

Abstract

This paper presents a Hamiltonian-based hybrid control strategy of permanent magnet synchronous motor (PMSM) drives for DC microgrid applications. Conventional field-oriented and direct torque control schemes often struggle with constant power load (CPL) conditions, which introduce negative impedance and destabilize the DC bus. To overcome this, the proposed method integrates Hamiltonian energy control with second-order homogeneous tracking control. The Hamiltonian framework provides energy shaping and damping injections to ensure global stability, while the tracking controller eliminates steady-state speed errors and improves dynamic response. An extended Hamiltonian model with integral action is also introduced to guarantee accurate q-axis current regulation without relying on complex interconnection gains. Experimental tests on a real PMSM using a dSPACE MicroLabBox confirm the effectiveness of the approach, demonstrating smooth acceleration, robust speed regulation underload disturbances, and stable performance during speed reversal. These results highlight the practicality of Hamiltonian-based hybrid control for advanced EV and microgrid applications.

IEEE AccessVol. 13
Rajamangala University of Technology (TH), University of Bucharest (RO), University of Pitesti (RO), X-Fab (Germany) (DE), Délégation Centre-Est (FR), Laboratoire Énergies et Mécanique Théorique et Appliquée (FR), Groupe de Recherche en Énergie Électrique de Nancy (FR), Groupe de Recherche Clinique en Neuro-urologie (FR), Universitatea Națională de Știință și Tehnologie Politehnica București (RO), King Mongkut's University of Technology North Bangkok (TH), Université de Lorraine (FR), McMaster University (CA)
Université de Lorraine, Agence Nationale de la Recherche, National Science and Technology Development Agency, National Research Council of Thailand, King Mongkut's University of Technology North Bangkok, National University of Science and Technology, Ministry of Higher Education, Science, Research and Innovation, Thailand
Openalex Percentile: Top 50%
Control and Stability of Dynamical Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.