A review of reliable and energy efficient direct torque controlled induction motor drives

Reza, C. M. F. S.; Islam, Md. Didarul; Mekhilef, Saad

doi:10.1016/j.rser.2014.05.067

Cited by 98 publications

(71 citation statements)

References 110 publications

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“…Induction Motors (IMs) are extensively used in many applications and they account for nearly 60% of total electricity consumption in industries (which includes industrial sectors of air compressors, pumps, cranes, electric home appliances, wind generation systems, fans, textile mills, blowers and in transportation systems) due to the dependency in conversion of electrical to mechanical energy [1]- [3]. Moreover, the maintenance of IMs is easy due to its simple structure, low cost, high efficiency and reliability [4]- [7].…”

Section: Introductionmentioning

confidence: 99%

“…In the past, DC motor drives were employed with speed controls due to their simple design in regulating flux as well as torque. However, the maintenance of DC motors is difficult as they corrode [3], [8], [9]. Then, AC motors came into existence in place of DC motors followed by semiconductor devices like metal oxide semiconductor field-effect transistor, insulated gate bipolar transistor was developed and simultaneously improved [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

“…Then, AC motors came into existence in place of DC motors followed by semiconductor devices like metal oxide semiconductor field-effect transistor, insulated gate bipolar transistor was developed and simultaneously improved [8]- [10]. The AC motors are designed using the microcontroller, Digital Signal Processor (DSP), and Field Programmable Gate Array (FPGA) in order to solve the fundamental and challenging problems [3], [9], [11]. Moreover, in IMs, the controlling of flux, speed and torque are difficult because of its sophisticated design along with its non-linear model [9], [10], [12], [13].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal design selection and analysis of single sided linear induction motor

Issac¹,

Poorani²

2018

IJET

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“…Three-phase induction motors (TIMs) are widely used in numerous applications, such as in factories, the industrial sector, air compressors, fans, railway tractions, pumps, and so on, accounting for approximately 60% of the total industrial electricity consumption [1,2]. A TIM is a dynamic control system that is difficult to represent theoretically; in several applications, the drive systems of TIMs are exposed to sudden changes in speed or mechanical load [3].…”

Section: Introductionmentioning

confidence: 99%

A Novel Quantum-Behaved Lightning Search Algorithm Approach to Improve the Fuzzy Logic Speed Controller for an Induction Motor Drive

2015

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This paper presents a novel lightning search algorithm (LSA) using quantum mechanics theories to generate a quantum-inspired LSA (QLSA). The QLSA improves the searching of each step leader to obtain the best position for a projectile. To evaluate the reliability and efficiency of the proposed algorithm, the QLSA is tested using eighteen benchmark functions with various characteristics. The QLSA is applied to improve the design of the fuzzy logic controller (FLC) for controlling the speed response of the induction motor drive. The proposed algorithm avoids the exhaustive conventional trial-and-error procedure for obtaining membership functions (MFs). The generated adaptive input and output MFs are implemented in the fuzzy speed controller design to formulate the objective functions. Mean absolute error (MAE) of the rotor speed is the objective function of optimization controller. An optimal QLSA-based FLC (QLSAF) optimization controller is employed to tune and minimize the MAE, thereby improving the performance of the induction motor with the change in speed and mechanical load. To validate the performance of the developed controller, the results obtained with the QLSAF are compared to the results obtained with LSA, the backtracking search algorithm (BSA), the gravitational search algorithm (GSA), the particle swarm optimization (PSO) and the proportional integral derivative controllers (PID), respectively. Results show that the QLASF outperforms the other control methods in all of the tested cases in terms of damping capability and transient response under different mechanical loads and speeds.

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“…Implementation of this control strategy is very simple and also coordinate transformation is not required. It is one of the most efficient control method for induction motor (IM) since its invention [7]. Performance superiority and control simplicity made DTC drive one of the prominent research areas in IM drives system.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Experimental Validation of 5-level Hybrid H-bridge Multilevel Inverter Fed DTC-IM Drive

Islam¹,

Reza²,

Mekhilef³

2015

Journal of Electrical Engineering and Technology

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-This paper aims to improve the performance of conventional direct torque control (DTC) drives proposed by Takahashi by extending the idea for 5-level inverter. Hybrid cascaded H-bridge topology is used to achieve inverter voltage vector composed of 5-level of voltage. Although DTC is very popular for its simplicity but it suffers from some disadvantages like-high torque ripple and uncontrollable switching frequency. To compensate these shortcomings conventional DTC strategy is modified for five levels voltage source inverter (VSI). Multilevel hysteresis controller for both flux and torque is used. Optimal voltage vector selection from precise lookup table utilizing 12 sector, 9 torque level and 4 flux level is proposed to improve DTC performance. These voltage references are produced utilizing a hybrid cascaded H-bridge multilevel inverter, where inverter each phase can be realized using multiple dc source. Fuel cells, car batteries or ultra-capacitor are normally the choice of required dc source. Simulation results shows that the DTC drive performance is considerably improved in terms of lower torque and flux ripple and less THD. These have been experimentally evaluated and compared with the basic DTC developed by Takahashi.

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A review of reliable and energy efficient direct torque controlled induction motor drives

Cited by 98 publications

References 110 publications

Optimal design selection and analysis of single sided linear induction motor

Optimal design selection and analysis of single sided linear induction motor

A Novel Quantum-Behaved Lightning Search Algorithm Approach to Improve the Fuzzy Logic Speed Controller for an Induction Motor Drive

Modeling and Experimental Validation of 5-level Hybrid H-bridge Multilevel Inverter Fed DTC-IM Drive

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