Zero Speed Sensorless Scheme for Permanent Magnet Synchronous Machine Under Decoupled Sliding-Mode Control

Autor: Arnau Doria-Cerezo, Jabir Bin Waqar, Victor Repecho, Domingo Biel
Přispěvatelé: Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica, Universitat Politècnica de Catalunya. ACES - Control Avançat de Sistemes d'Energia
Rok vydání: 2022
Předmět:
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
ISSN: 1557-9948
0278-0046
Popis: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Position estimation at low/zero speed for permanent magnet synchronous machines is commonly achieved with the injection of high-frequency signals. This article presents a new sensorless scheme that accurately observe the rotor angle at low speeds, including standstill condition, without injecting high-frequency signals. The algorithm is built upon a previous sliding-mode current controller and uses the switching functions slopes inaccuracies produced by the saliency effect to determine the rotor position and speed. Thanks to the equivalent control concept and together with a sliding-mode-based phase-locked loop observer defined by a complex switching function, the algorithm provides both rotor position and speed in a compact form. This article includes the main working principle and defines the operational range of the proposed scheme. Finally, the feasibility of the method is corroborated through experimental results in sensorless configuration.
Databáze: OpenAIRE