A review on sensorless techniques for sustainable reliablity and efficient variable frequency drives of induction motors

Alsofyani, Ibrahim Mohd; Idris, Nik Rumzi Nik

doi:10.1016/j.rser.2013.03.051

Cited by 126 publications

(71 citation statements)

References 59 publications

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“…8. An induction motor with a feeding inverter is launched by a SPWM switching [20][21]. The amount of reference currents Iabc* is obtained from q-and d-axis by Park inversion.…”

Section: The General System Model and Analysismentioning

confidence: 99%

A New Approach to Improve Induction Motor Performance in Light-Load Conditions

Hesari¹,

Hoseini²

2017

Journal of Electrical Engineering and Technology

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-Induction motors often reach their maximum efficiency at the nominal load. In most applications, the machine load is not equal to the nominal load, thus reduces the motor efficiency and turns a greater percent of power into loss. In this paper, the induction motor control problem has been investigated to reduce the system losses. The Field Oriented Control method (FOC) has been employed in this paper. In this research, the mathematical equations related to system losses are calculated in relation to torque and speed, and then the q-and d-axis are summarized according to the current components. After that, the proposed method is applied along with d-and q-axis. In the recent three decades, many techniques have been suggested to improve the induction motor performance using smart and non-smart methods. In this paper, a new PSO-Fuzzy method have used in real time. The fuzzy logic method serves as speed controller in q-axis and PSO algorithm controls the optimum flux in d-axis. It will be proved that the use of this combined method will lead to a significant improvement in motor efficiency.

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“…8. An induction motor with a feeding inverter is launched by a SPWM switching [20][21]. The amount of reference currents Iabc* is obtained from q-and d-axis by Park inversion.…”

Section: The General System Model and Analysismentioning

confidence: 99%

A New Approach to Improve Induction Motor Performance in Light-Load Conditions

Hesari¹,

Hoseini²

2017

Journal of Electrical Engineering and Technology

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“…Moreover, the maintenance of IMs is easy due to its simple structure, low cost, high efficiency and reliability [4]- [7]. In the past, DC motor drives were employed with speed controls due to their simple design in regulating flux as well as torque.…”

Section: Introductionmentioning

confidence: 99%

Optimal design selection and analysis of single sided linear induction motor

Issac¹,

Poorani²

2018

IJET

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This paper investigates the design and implementation of single-sided linear induction motor towards determining the end effect intensity, reduces the primary weight of the system and improves the efficiency by multi-objective optimisation approach. This optimisation technique is a combination of genetic with cuckoo search (GCS) algorithm is introduced to improvise the efficiency and power factor, as well as to minimize the end effect intensity, simultaneously. The performance of the designed novel approach will be validated based on the measure of different parameters such as Efficiency, Power factor, Maximum thrust slip, Aluminum thickness, Primary width/pole pitch, Primary current density and the braking force due to the end effect. Finally, to validate the optimisation results, 3D finite element method is employed and compared the results with the existing technique like GA, PSO, and Cuckoo search.

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“…There are plenty of literature works concerning speed sensor algorithms among them, the state observers. His principle based on the IM dynamic equations [2]. In general, observers can be classified into two domains, stochastic and deterministic.…”

Section: Introductionmentioning

confidence: 99%

Neural Adaptive Kalman Filter for Sensorless Vector Control of Induction Motor

Ghlib¹,

Messlem²,

Gouichiche³

et al. 2017

IJPEDS

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This paper presents a novel neural adaptive Kalman filter for speed sensorless field oriented vector control of induction motor. The adaptive observer proposed here is based on MRAS (model reference adaptive system) technique, where the linear Kalman filter calculate the stationary components of stator current and the rotor flux and the rotor speed is calculated with an adaptive mechanism. Moreover, to improve the performance of the PI classical controller under different conditions, a novel adaptation scheme based on ADALINE (ADAptive LInear NEuron) neural network is used. It offers a solution to the PI parameters to stabilize automatically about their optimum values and speed estimation to converge quicker to the real. The proposed adaptive Kalman filter represents a good comprise between estimation accuracy and computationally intensive. The simulation results showed the robustness, efficiency, and superiority of the proposed scheme compared to the classical method even in low speed region.

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A review on sensorless techniques for sustainable reliablity and efficient variable frequency drives of induction motors

Cited by 126 publications

References 59 publications

A New Approach to Improve Induction Motor Performance in Light-Load Conditions

A New Approach to Improve Induction Motor Performance in Light-Load Conditions

Optimal design selection and analysis of single sided linear induction motor

Neural Adaptive Kalman Filter for Sensorless Vector Control of Induction Motor

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