Efficiency optimization of a vector controlled induction motor drive using an artificial neural network

Abdin, E.S.; Ghoneem, G.A.; Diab, Hossam; Deraz, Said A.

doi:10.1109/iecon.2003.1280646

Cited by 25 publications

(10 citation statements)

References 8 publications

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“…Basic GA is used in [62] to identify rotor time constant from the error between motor and commanded stator currents, which helped on-line adjustment of slip angular speed. Optimum flux producing current and corresponding efficiency are focused in [63], [64] by using neural network. Change in core loss resistance due to flux and frequency have taken into account.…”

Section: (Ii) Ai Based Controllersmentioning

confidence: 99%

“…Change in core loss resistance due to flux and frequency have taken into account. The variation in the iron loss resistance can be found from the equation (1) [63], where mb R is the value of m R at rated frequency and flux. …”

Section: (Ii) Ai Based Controllersmentioning

confidence: 99%

“…There are many types of AI controllers applied to IM optimization through control as well as design and are available in the literature [35], [36], [63], [77] - [80]. Some controllers use Fuzzy [653], [77]- [80], ANN [35], [36].…”

Section: B Ai Based Optimization Techniquesmentioning

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: (Ii) Ai Based Controllersmentioning

confidence: 99%

Section: (Ii) Ai Based Controllersmentioning

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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“…In a search controller, the air gap flux is varied till the minimum input power is detected for the actual operating condition, i.e. load torque and speed [3], [4]. The measured motor input power is used as a feedback quantity for the SC.…”

Section: Introductionmentioning

confidence: 99%

“…Search Control method (SC) and Loss Model based Controller (LMC) [3]- [13] are two different approaches to find the optimal air gap flux. In a search controller, the air gap flux is varied till the minimum input power is detected for the actual operating condition, i.e.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement

Abdelkarim¹,

Ahmed²,

Orabi³

et al. 2012

Journal of Power Electronics

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The paper presents an accurate loss model based controller of an induction motor to calculate the optimal air gap flux. The model includes copper losses, iron losses, harmonic losses, friction and windage losses, and stray losses. These losses are represented as a function of the air gap flux. By using the calculated optimal air gap flux compared with rated flux for speed sensorless indirect vector controlled induction motor, an improvement in motor efficiency is achieved. The motor speed performance is improved using a fuzzy logic speed controller instead of a PI controller. The fuzzy logic speed controller was simulated using the fuzzy control interface block of MATLAB/SIMULINK program. The control algorithm is experimentally tested within a PC under RTAI-Linux. The simulation and experimental results show the improvement in motor efficiency and speed performance.

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