High-precision speed control of induction motors using a multi-pulse voltage source converter and advanced observer-based strategies
This paper presents a speed motor control using a precise Electric Motor Drive System (EMDS) utilizing an 84-pulse Voltage Source Converter (VSC). The development of the VSC signal requires two critical parameters: V module , representing the combined amplitude of the 3-phase signals, and a variable frequency adjusted via a Phase-Locked Loop (PLL) within each sample cycle. To estimate the non-measurable variables ( λ α r , λ β r and T L ), sliding mode, asymptotic, and Luenberger observers are employed and compared among themselves. The control algorithm is based on sliding mode with an equivalent control strategy, ensuring robust performance under various operating conditions. This control algorithm transforms the plant to be controlled to the non-linear block control form by using error-tracking dynamics. This is to obtain the sliding manifold and to apply the equivalent control strategy. The effectiveness of the proposed system is validated through a set of simulations conducted in Matlab/Simulink, demonstrating its capability to achieve high precision in motor drive applications. • Precise Speed Control Using 84-Pulse VSC. • Advanced Observer Techniques for Non-Measurable Variables. • Robust Control Algorithm with Sliding Modes.
Authors
- Carlos Eduardo Castaneda (ORCID: https://orcid.org/0000-0002-0781-0490)
- Vijay K. Sood (ORCID: https://orcid.org/0000-0003-3859-3799)
- Hossam A. Gabbar (ORCID: https://orcid.org/0000-0002-8495-5343)
- Antonio Valderrábano‐González (ORCID: https://orcid.org/0000-0002-8509-6376)
Institutions
- Universidad de Guadalajara (MX)
- Ontario Tech University (CA)
- Universidad Panamericana (MX)
Publication Details
- Journal
- e-Prime - Advances in Electrical Engineering Electronics and Energy
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1016/j.prime.2024.100884
- Citations
- 1
- Primary Topic
- Sensorless Control of Electric Motors
- Type
- article
- Field-Weighted Citation Impact
- 0.21
Funders
- Universidad Panamericana