Efficiency optimization of induction motor drive at steady-state condition

Choudhary, Prashant Kumar; Dubey, Satya Prakash; Gupta, Vipul

doi:10.1109/iccicct.2015.7475325

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…The performances of the proposed method were examined in terms of power efficiency, speed, and torque under four configurations such as speed 90 and torque 130, speed 120 and torque 150, speed 150 and torque 180, and speed 180 and torque 200. Further, the analysis of the adopted model was exploited over the other conventional models in [ 31 ] such as vector operation and optimal operation regarding efficiency, energy-saving, and input power. The analysis between the proposed SL-DA method and PSO algorithm are also presented and an analysis of efficiency, output power, and savings in energy has been presented in different tables.…”

Section: Resultsmentioning

confidence: 99%

“…Initially, the efficiency of power is started with a low value and achieves the maximum over the time seconds. On comparing the conventional models in [ 31 ] with this proposed work, the results are discussed in the following paragraphs.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, for a large amount of numerical testing, Mirjalili suggested that DA executes in a better way as compared to GA and PSO [ 30 ]. Conventionally, in [ 31 , 32 ], the authors used the key attributes of loss model control (LMC) as well as search control (SC) together for assessment and reproduction of optimal flux component of current (I ds ), for optimal efficiency operation of IM. However, the model struggles with the performance rate when there is variation in the load profile.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors

Shukla¹,

Srivastava

Mirjalili

2022

Sensors

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Induction motors tend to have better efficiency on rated conditions, but at partial load conditions, when these motors operate on rated flux, they exhibit lower efficiency. In such conditions, when these motors operate for a long duration, a lot of electricity gets consumed by the motors, due to which the computational cost as well as the total running cost of industrial plant increases. Squirrel-cage induction motors are widely used in industries due to their low cost, robustness, easy maintenance, and good power/mass relation all through their life cycle. A significant amount of electrical energy is consumed due to the large count of operational units worldwide; hence, even an enhancement in minute efficiency can direct considerable contributions within revenue saving, global electricity consumption, and other environmental facts. In order to improve the efficiency of induction motors, this research paper presents a novel contribution to maximizing the efficiency of induction motors. As such, a model of induction motor drive is taken, in which the proportional integral (PI) controller is tuned. The optimal tuning of gains of a PI controller such as proportional gain and integral gain is conducted. The tuning procedure in the controller is performed in such a condition that the efficiency of the induction motor should be maximum. Moreover, the optimization concept relies on the development of a new hybrid algorithm, the so-called Scrounger Strikes Levy-based dragonfly algorithm (SL-DA), that hybridizes the concept of dragonfly algorithm (DA) and group search optimization (GSO). The proposed algorithm is compared with particle swarm optimization (PSO) for verification. The analysis of efficiency, speed, torque, energy savings, and output power is validated, which confirms the superior performance of the suggested method over the comparative algorithms employed.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors

Shukla¹,

Srivastava

Mirjalili

2022

Sensors

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“…In high dynamic performances, control schemes used in industrial applications like vector control and direct torque control, the flux is usually maintained constant equal to its nominal value; in this situation the induction motor runs efficiently around the nominal operating point [2], [3]. When the load is reduced considerably, the losses are greatly increased and the electrical energy consumption is then highly affected [3][4][5][6]. Energy saving in induction motor drives aims at controlling the motor to match the load requirement but with minimum loss.…”

Section: Introductionmentioning

confidence: 99%

“…In last few decades, huge efforts are put forward by both developed and developing countries in the line of energy-saving. The electric motors are the largest consumer of total electricity produced globally (nearly 65-70%) [6], [7]. Precisely, out of this share of percentage, the threephase induction motors (IMs) of different capacities (ranging from few Hp to 100 Hp) utilizes approximately 85-90% of this electricity.…”

Section: Introductionmentioning

confidence: 99%

A Golden Section Search Algorithm Based Loss Minimization for Induction Motor Drive

Rai¹,

Seksena²,

Thakur³

2019

IJEEI

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The present manuscript proposes a loss model controller (LMC) based on the Golden Section Search (GSS) algorithm for efficiency optimization of induction motor (IM) drives. The vector controlled or field-orientated induction motor (IM) drive system operates at rated flux in all the speed range. Even at low load, where the flux demand for IM operation is low, the drive is operated at rated flux and thus, unnecessarily energy is wasted. Therefore, to overcome this problem, the proposed algorithm searches for the optimal reference value of flux component of current (ds i) for which the electrical input power of the system should be minimal. The search algorithm is very fast and the algorithm has no effect on parameter variation and also no additional hardware machinery for hardware implementation is required. In addition, it does not require the knowledge of speed and torque in the searching process, and is insensitive to motor parameter variations. The simulation results for various speed patterns and operating conditions are presented in this paper. Stability study of the whole drive system is also carried out utilizing the optimizing scheme. The simulation results demonstrate the effectiveness of the proposed algorithm and also the experimental validation of same on dSPACE-1104 based laboratory prototype has confirmed the robustness of the proposed algorithm in terms of optimal efficiency.

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WITHDRAWN: Control system optimization based on PID with artificial intelligent for machine

Rashag

Talib²

2020

Materials Today: Proceedings

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Efficiency optimization of induction motor drive at steady-state condition

Cited by 9 publications

References 16 publications

A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors

A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors

A Golden Section Search Algorithm Based Loss Minimization for Induction Motor Drive

WITHDRAWN: Control system optimization based on PID with artificial intelligent for machine

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