Fuzzy Improvement on Luenberger Observer Based Induction Motor Parameters Estimation for High Performances Sensorless Dr
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ORIGINAL ARTICLE
Fuzzy Improvement on Luenberger Observer Based Induction Motor Parameters Estimation for High Performances Sensorless Drive Zakaria Boulghasoul1 · Zineb Kandoussi2 · Abdelhadi Elbacha1 · Abdelouahed Tajer1 Received: 19 March 2020 / Revised: 15 June 2020 / Accepted: 23 July 2020 © The Korean Institute of Electrical Engineers 2020
Abstract In this paper we present a new improved sensorless vector control of induction motor based on an improved adaptive Luenberger observer. The proposed observer is designed to estimate both speed and motor parameters from measured stator currents, stator voltages and estimated rotor fluxes. The proposed sensorless drive has for purpose to compensate at the same time both stator resistance and rotor time constant inverse variation, which change during operation. Indeed, in the proposed adaptive Luenberger observer, a Fuzzy Logic Controller will be adopted as an adaptation mechanism. The proposed observer stability is proved by the Lyapunov’s theorem and its feasibility is verified by series of experimental tests. The relevant results and the effectiveness of the improved system are clearly shown through obtained experimental results with an induction motor of 1 kW driven by dSPACE system. Keywords Induction motor · Sensorless vector control · Luenberger observer · Fuzzy logic control · Lyapunov criterion · Parameters identification
1 Introduction Due to the high cost of permanent magnet, induction motors (IMs) have attracted attention of modern industrial process designers. They have found their place in a wide range of industrial applications such as electric vehicles, transportation and aerospace industries. Induction motors offer several advantages compared to other motors such us ease of manufacturing, reliability, ruggedness, less maintenance and the most important its low price. However, IMs are highly coupled and multivariable systems. Consequently, parallel control of various variables is required to efficiently control the rotor speed and the torque. The reason why, it is essential to artificially obtain a decoupling between the flux and the torque using Field Oriented Control (FOC) for fast dynamic response and for better performances [29]. * Zakaria Boulghasoul [email protected] 1
System Engineering and Applications Laboratory (SEAL), National School of Applied Sciences, Cadi Ayyad University, B.P 575, Av. Abdelkarim khattabi, 40000 Marrakech, Morocco
Private University of Marrakech, Km 13, route d’Amizmiz, 42312 Marrakech, Morocco
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The use of a speed sensor in induction motor for precise signal measurement is required for closed loop speed drive. Therefore the presence of a speed sensor (encoder) can be an inconvenient. Instead of its extra cost, it leads to increase sensitivity to vibration and limits the application of induction motor in a relatively harsh environment. Thus, especially in the two last decades, and due to the recent advances in DSP, FPGA and ASICs technologies, sensorless control is becoming attractive to find solution
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