Novel intelligent hybrid techniques for speed control of electric drives fed by matrix converter

Sivarani, T. S.; Jawhar, S. Joseph; Kumar, C. Agees

doi:10.1109/icceet.2012.6203759

Cited by 11 publications

(4 citation statements)

References 15 publications

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“…Te researchers have developed many soft computing strategies in the literature to reduce the harmonics in the grid-connected matrix converters. For optimizing the cost function in soft computing, numerous optimization techniques are suggested, such as PSO [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34], fuzzy logic [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31], neuro-fuzzy [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32], genetic algorithm …”

Section: Introductionmentioning

confidence: 99%

Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System

Amarendra

Pandian

Reddy³

et al. 2023

International Transactions on Electrical Energy Systems

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Advanced power converters are being developed due to the latest developments in power electronics switches. The matrix converter (MC) assessment is the product of this drastic growth. MC is a bidirectional power flow device with a single-step energy conversion mechanism that operates at variable voltage and frequency. The main drawback of MC is the presence of harmonics due to power electronic device switching. A lot of research has been done to decrease the harmonics content present in the MC, but it is restricted to a certain level only. To overcome this limit, the harmonics are minimized in the MC by incorporating soft computing controllers. This article presents particle swarm optimization (PSO), modified PSO (MPSO), and modified hybrid PSO (MHPSO) based controllers for different loads. The proposed MC with a soft computing controller reduces the harmonics by selecting suitable switching pulses for every sample. The simulations are made using the MATLAB/Simulink environment. The results of the proposed MHPSO controller reduce the THD value from 8.654 with a PSO approach to 7.536 in the presence of nonlinear loads.

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Section: Introductionmentioning

confidence: 99%

Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System

Amarendra

Pandian

Reddy³

et al. 2023

International Transactions on Electrical Energy Systems

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“…Other methods for controlling MCs include direct power control [11,12], fuzzy control [13][14][15], neural networks [16,17], and genetic algorithms [18,19]. Despite their improved control performance, these approaches impose complications and extra calculations to the control platform and might not be suitable for practical applications.…”

Section: Introductionmentioning

confidence: 99%

Review of model predictive control strategies for matrix converters

Khosravi

Amirbande

Khaburi

et al. 2019

IET Power Electronics

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Matrix converters are a well-known class of direct AC-AC power converter topologies that can be used in applications, where compact volume and low weight are necessary. For good performance, special attention should be paid to the control scheme used for these converters. The model predictive control strategy is a promising, straightforward and flexible choice for controlling various different matrix converter topologies. This work provides a comprehensive study and detailed classification of several predictive control methods and techniques, discussing special capabilities they each add to the operation and control scheme for different matrix converter topologies. This study also considers the issues regarding the implementation of model predictive control strategies for matrix converters. This survey and comparison are intended to be a useful guide for solving the related drawbacks of each topology and to enable the application of this control scheme for matrix converters in practical applications.

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“…for Matrix Converters Scalar Techniques [5], [6] Pulse Width Modulation [7]- [10] Direct Torque Control [11], [12] Direct Power Control [13], [14] Model Predictive Control [15]- [38] Other Methods Direct Transfer Function [5] Scalar (Roy) [6] Carrier Based PWM [7], [8] Space Vector Modulation [9], [10] Predictive Current Control [15]- [24] Predictive Torque Control [25]- [29] Predictive Power Control [30]- [33] Predictive Voltage Control [34]- [36] Unity Transfer [37], [38] [40], [41] Fig. 2.…”

Section: Modulation and Control Methodsmentioning

confidence: 99%

“…2, the most commonly used techniques are Venturini [5], carrier-based pulse width modulation (PWM) [7], [8], space vector modulation (SVM) [9], [10] and direct torque control (DTC) [11], [12]. Other control methods that have been applied to MCs in specific applications are fuzzy control, neural networks and genetic algorithms [40], [41]. Due to the discrete nature, intuitive approach and simplicity of MCs for real-time implementation, the predictive control has shown to be a very promising alternative to control MCs [15]- [38].…”

mentioning

confidence: 99%

A review of predictive control techniques for matrix converter applications

Rivera

Wheeler

Rodríguez

et al. 2017

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

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Abstract-Predictive control has recently emerged as a promising alternative to more traditional methods for the control and modulation of power converters. This paper presents an overview of predictive control techniques applied to matrix converters. The paper highlights that predictive control strategy is a promising alternative to conventional modulator based linear control for matrix converters due to its simplicity and flexibility to include additional constraints within the control to have it suitable for different applications. In addition to describing many advantages of predictive control techniques, its limitations and weaknesses are also discussed along with some future trends and applications. Most important control aspects of predictive control are demonstrated through simulation analysis.

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Novel intelligent hybrid techniques for speed control of electric drives fed by matrix converter

Cited by 11 publications

References 15 publications

Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System

Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System

Review of model predictive control strategies for matrix converters

A review of predictive control techniques for matrix converter applications

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