Optimization of Regulators of Frequency Controlled Induction Electric Drives Under the Stochastic Loadings

Shurub, Yu.V.; Dudnyk, Alla; Lavinskiy, D.S.

doi:10.15407/techned2016.04.053

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…The use of statistically optimal regulator with stochastic disturbances enhanced the performance of electric energy. Moreover, the scalar driving these figures are close to the values obtained by statistical optimization is electric vector control [4] under the same load conditions, but at simplest terms technical implementation.…”

supporting

confidence: 73%

“…When vector control possible direct regulation of the rotor flux through the separation process and flow control point. But high quality filtration components load depends on the quality of stabilization flux path that is difficult to implement frequency converters with voltage source properties because of the electromagnetic connection between circuits regulating moment and flux [4].…”

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confidence: 99%

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Statistical Optimization of Frequency Regulated Induction Electric Drives With Scalar Control

Shurub¹

2017

Elektroteh. elektromeh.

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Purpose. Working out of technique of synthesizing statistically optimal controllers of induction electric drives with frequency scalar control operating under stochastic loads. Methodology. It is shown, that one of the ways of increasing the energy efficiency of induction electric drives at random changes of loads is to create closed systems of electric drives with statistically optimal regulators that would take into account the stochastic nature of the disturbances and acted as filters of occasional high frequency fluctuations. The structure of such controls depends on the statistical characteristics of stochastic loads-correlation function and spectral density. In this mode, the minimum loss in dynamic mode with random intensive changed loads is provided by criterion of minimum mean square error of optimal parameter control. In the case of frequency controlled electric drive such a parameter is the optimum rotor flux. Results. The optimal structures of regulators of electric drives under stochastic loads according to type of random disturbances are identified. Originality. The technique of statistically optimal synthesis with feature of the expansion of a random process load on average, served as a useful signal, and high-frequency fluctuations around the average value, served as barrier, is developed. Practical value. On an example of simulation of work of the electric drive of a crusher of grain it is shown efficiency of a filtration by statically optimal regulator of the high-frequency components of random torques of load, reduction of dispersions of its outlet parameters, increase of cyclic indicators of energy efficiency of the electric drive, such as cyclic efficiency and power factor. References 4, tables 1, figures 3.

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confidence: 73%

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confidence: 99%

Statistical Optimization of Frequency Regulated Induction Electric Drives With Scalar Control

Shurub¹

2017

Elektroteh. elektromeh.

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“…Indeed, many optimization problems have complications (stochastic influences [9], non-linearity [10,11], multidimensionality and multi-extremal features [12], multi-objectivity [8,13,14], necessity to find the global extremum, etc.) which cause attempts of deep modification of PSO.…”

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confidence: 99%

A Novel Multi-Epoch Particle Swarm Optimization Technique

Romasevych

Ловейкін

2018

Cybernetics and Information Technologies

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Since canonical PSO method has many disadvantages which do not allow to effectively reach the global minima of various functions it needs to be improved. The article refers to a novel Multi-Epoch Particle Swarm Optimization (ME-PSO) technique which has been developed by authors. ME-PSO algorithm is based on reinitializing of the stagnant swarm with low exploration efficiency. This approach provides a high rate of global best changing. As a result ME-PSO has great possibility of finding good local (or even global) optimum and does not trap in bad local optimum. In order to prove the advantages of the ME-PSO technique numerical experiments have been carried out with ten uni- and multimodal benchmark functions. Analysis of the obtained results convincingly showed significant superiority of ME-PSO over PSO and IA-PSO algorithms. It has been set that canonical PSO is a special case of ME-PSO.

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“…Розвинуто методологію вдосконалення АД з урахуванням особливостей їхніх робочих режимів у складі електромеханічної системи. Із використанням можливостей польового аналізу набули розвитку засоби і методи створення АД (зокрема, вбудованих, із масивними елементами магнітопроводу) підвищеної ефективності для регульованих систем із напівпровідниковими перетворювачами, періодичним та стохастичним навантаженням, інтенсивних динамічних режимів роботи [57][58][59][60][61][62].…”

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To the 75th Anniversary of the Institute of Electrodynamics of the Nas of Ukraine

Kyrylenko¹

2022

Teh. Elektrodin.

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Optimization of Regulators of Frequency Controlled Induction Electric Drives Under the Stochastic Loadings

Cited by 6 publications

References 2 publications

Statistical Optimization of Frequency Regulated Induction Electric Drives With Scalar Control

Statistical Optimization of Frequency Regulated Induction Electric Drives With Scalar Control

A Novel Multi-Epoch Particle Swarm Optimization Technique

To the 75th Anniversary of the Institute of Electrodynamics of the Nas of Ukraine

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