A new stator voltage error-based MRAS model for field-oriented controlled induction motor speed estimation without using
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ORIGINAL PAPER
A new stator voltage error‑based MRAS model for field‑oriented controlled induction motor speed estimation without using voltage transducers Sadık Özdemir1 Received: 21 November 2019 / Accepted: 15 June 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract A sensorless speed estimation method for performing the indirect field-oriented control (IFOC) of induction motors (IMs) is presented in the current research. The method uses the stator voltage as state variable but eliminates the voltage transducers. Traditional MRAS methods use two sets of equations to estimate (the motor speed. However, the proposed system utilizes ) ∗ in the reference model as a new Model Reference the q-axis current regulator proportional–integral (PI) control output Vsq ( ) Adaptive System (MRAS) technique and compares this value with the estimated voltage V̂ sq in an adaptive model. The method calculates the steady-state q-axis stator voltage in adaptive model, so, the calculation burden in the estimation loop is significantly reduced. Choosing the q-axis stator voltage as state variable removes requirement of the rotor parameters in calculations, and therefore, the system becomes resistant to the alteration in rotor parameters. Furthermore, the mentioned special calculation ensures the elimination of the need for flux estimation, so the speed estimation technique becomes resistant to integral and derivative calculation-based problems. The MATLAB/Simulink simulation results and experiments under various operation conditions verifies the effectiveness of the studied technique. Keywords Induction motor · Sensorless speed estimation · Field-oriented control · MRAS · Voltage-error List of symbols Vs Stator voltage Vdc DC supply voltage Vsd , Vsq d and q-axis stator voltages Vrd , Vrq d and q-axis rotor voltages 𝜆sd , 𝜆sq d and q-axis stator fluxes Rs , Rr Stator and rotor resistances Ls , Lr Stator and rotor self-inductances L Tr = Rr Rotor time constant
𝜆rd , 𝜆rq d and q-axis rotor fluxes Lls , Llr Stator and rotor leakage inductances Lm Mutual inductance L2 𝜎 = 1 − L mL Total leakage factor of the machine r s
𝜔s Stator electrical frequency 𝜔sl Slip frequency fs Switching frequency * Symbol indicating the reference/command
r
𝜔r Rotor frequency 𝜔m Mechanical speed P Number of poles ^ Symbol indicating estimation is Stator current iabc Phase currents isd , isq d and q-axis stator currents ird , irq d and q-axis rotor currents
* Sadık Özdemir [email protected] 1
Pamukkale Universitesi, Pamukkale, Turkey
1 Introduction Induction motors represent the primary alternative in a wide range of industrial, automotive, and household applications. Field-oriented control techniques ensuring the effective operation of IMs in high-performance drive applications need some machine parameters, including stator and rotor resistor and precise rotor speed information [1–4]. However, the speed of any motor is measured using rotational transducers, and the position of the motor is evalua
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