Practical considerations in the optimisation of induction motor design

Singh, C.; Sarkar, De

doi:10.1049/ip-b.1992.0043

Cited by 32 publications

(22 citation statements)

References 11 publications

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“…Sequential quadratic programming (SQP) for non-linear constraint optimization technique was successfully implemented to IM design in [15]. In this paper, authors have included practical considerations to reduce the computation time.…”

Section: A Conventional Algorithmsmentioning

confidence: 99%

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Energy Efficient Control of Three-Phase Induction Motor - A Review

Raj¹,

Srivastava²,

Agarwal³

2009

IJCEE

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Abstract-Due to robustness, reliability, low price and maintenance free, induction motors (IMs) used in most of the industrial applications. The influence of these motors (in terms of energy consumption) in energy intensive industries is significant in total input cost. This paper presents a review of the developments in the field of efficiency optimization of three-phase induction motor through optimal control and design techniques. Optimal control covers both the broad approaches namely, loss model control (LMC) and search control (SC). Optimal design covers the design modifications of materials and construction in order to optimize efficiency of the motor. The use of Artificial Intelligence (AI) techniques such as artificial neural network (ANN), fuzzy logic, expert systems and nature inspired algorithms (NIA), Genetic algorithm and differential evolution in optimization are also included in this paper. Experimental and simulation examples on efficiency optimization are illustrated.

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Section: A Conventional Algorithmsmentioning

confidence: 99%

“…In this paper, authors have included practical considerations to reduce the computation time. The following are the practical considerations [15],…”

Section: A Conventional Algorithmsmentioning

confidence: 99%

Energy Efficient Control of Three-Phase Induction Motor - A Review

Raj¹,

Srivastava²,

Agarwal³

2009

IJCEE

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“…The optimizer needs the differentials of the outputs because it exploits a gradient-based algorithm [3]. In our case, the calculation of these differentials is done by finite differences, of which the method is evoked as follows.…”

Section: Sensibility Calculationmentioning

confidence: 99%

Integration of the volume segmentation method into an optimization process: application to the sizing of a micro-actuator for deformable mirrors

et al. 2006

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“…Then a specific corresponding software component [4] is generated and incorporated into an optimization environment (Fig. 1) including a determinist optimizer algorithm SQP (sequential quadratic programming) [7]. Iterations between these steps are generally necessary to reach a satisfactory solution.…”

Section: Introductionmentioning

confidence: 99%

A novel sizing environment (DSP-1) dealing with semi-numerical models applied to the optimization of a bi-stable out-of-plane magnetic micro-switch

Chetouani¹,

Rostaing²,

Würtz³

et al. 2006

IEEE Trans. Magn.

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The use of a semi-numerical model in order to optimize a magnetic micro-switch is proposed. It relies on a flexible sizing environment for which novel models based on sums, surface, and volume integrals necessary to express magnetic phenomena have been developed. Then, corresponding software components have been generated. This environment is applied to optimize a bi-stable out-of-plane magnetic micro-switch. The optimized micro-switch is dedicated to be used in optical micro-scanner application. Its main characteristics are high displacement (in excess of 100 m), low switching time, and current consumption (300 mA). Results demonstrate a performing and generic way for fast design by optimization.

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Practical considerations in the optimisation of induction motor design

Cited by 32 publications

References 11 publications

Energy Efficient Control of Three-Phase Induction Motor - A Review

Energy Efficient Control of Three-Phase Induction Motor - A Review

Integration of the volume segmentation method into an optimization process: application to the sizing of a micro-actuator for deformable mirrors

A novel sizing environment (DSP-1) dealing with semi-numerical models applied to the optimization of a bi-stable out-of-plane magnetic micro-switch

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