Speed sensorless vector control of induction motor using extended Kalman filter

To elucidate the principles of notable torque and flux ripple during the steady state of the conventional direct torque control (DTC) of induction machines, the factors of influence torque variation are examined. A new torque ripple minimization algorithm is proposed. The novel method eradicated the torque ripple by imposing the required stator voltage vector in each control cycle. The M and T axial components of the stator voltage are accomplished by measuring the stator flux error and the expected incremental value of the torque at every sampling time. The maximum angle rotation allowed is obtained. Experimental results showed that the proposed method combined with the space vector pulse width modulation (SVPWM) could be implemented in most existing digital drive controllers, offering high performance in both steady and transient states of the induction drives at full speed range. The result of the present work implies that torque fluctuation could be eliminated by imposing proper stator voltage, and the proposed scheme could not only maintain constant switching frequency for the inverter, but also solve the heating problem and current harmonics in traditional induction motor drives.

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“…In (10), supposing the expected incremental value of the torque at the next sampling time is ΔT , and then ΔT e = ΔT e1 + ΔT e2 + ΔT e3 .…”

Section: Expected Value Of Stator Voltage Vector Designmentioning

confidence: 99%

Novel torque ripple minimization algorithm for direct torque control of induction motor drive

Liu

Guo

Hao

et al. 2009

J. Shanghai Univ.(Engl. Ed.)

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“…The Kalman filter integrates these input data with state estimation and observation models [7][8], while considering factors like noise [9]. The resulting output 𝑋 ̂𝑘 + provides a more accurate estimation of 𝑝 𝑘 , representing the optimal prediction or estimation of the actual system state.…”

Section: Theoretical Analysis (1) Defining the State Vector And State...mentioning

confidence: 99%

Research on the measurement of synchronous deformation for elevators under mechanical strength

Lv,

Kang,

Jia

et al. 2024

International Conference on Optoelectronic Materials and Devices (ICOMD 2023)

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“…Later on, it is extended essentially by NASA to be used as well for nonlinear systems and for that reason it is called as extended Kalman filter (McElhoe, 1966; Smith et al, 1962). In the dynamic model of electrical machines, the adding of the machine speed as a variable state to the state vector transforms it to a nonlinear system where the speed becomes a variable as a parameter (Sul, 1994).…”

Section: Estimation Of the Bdfim Speed By Extended Kalman Filtermentioning

confidence: 99%

Novel fully sensorless synergetic control of brushless doubly fed induction machine integrated in wind energy conversion system driven by fuzzy-based HCS MPPT algorithm

Beghdadi

Kouzi

2022

Wind Engineering

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This paper proposes a novel fully sensorless synergetic algorithm that adopts concerns from both power, torque, and speed of brushless doubly fed induction machine (BDFIM) for application in wind energy conversion system (WECS). A sensorless fuzzy-based hills climb search algorithm (HCS-MPPT) is introduced to the control system along with a comparison study with the conventional tip speed ratio algorithm (TSR-MPPT). For studying the feasibility of the suggested control, a robust control of the BDFIM based on synergetic control theory is build up for the first time ever on this machine type with different scenarios where the active and reactive power, the torque, and speed of the machine are controlled. In the second step, the aim is maximizing the wind’s energy extraction by replacing the wind speed sensors with a fuzzy-based HCS-MPPT approach. Lastly, to increase the robustness of the suggested scheme control, an extended Kalman filter EKF is employed for the estimation of rotor speed in presence of considerable noise values in order to make it closer to reality as possible. Computational simulation results confirm that the proposed method, consistently outperforms other techniques and proves effectiveness under several conditions.

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Speed sensorless vector control of induction motor using extended Kalman filter

Cited by 366 publications

References 6 publications

Novel torque ripple minimization algorithm for direct torque control of induction motor drive

Novel torque ripple minimization algorithm for direct torque control of induction motor drive

Research on the measurement of synchronous deformation for elevators under mechanical strength

Novel fully sensorless synergetic control of brushless doubly fed induction machine integrated in wind energy conversion system driven by fuzzy-based HCS MPPT algorithm

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