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Performance analysis intelligent-based advanced PSO algorithm and testing of real-time matrix converter electrical system

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Abstract

The advanced improvements in power electronic switches make the development of power electronic converters. This drastic development results the matrix converter (MC) evaluation. MC is a bidirectional power flow device with single-stage conversion process with variable voltage and variable frequency. The major drawback of MC is harmonic content present due to switching of power electronic devices. To reduce the harmonics present in the MC, lots of research works were carried out, but it is limited to some extent; beyond the limit, the harmonics can be reduced in MC by introducing soft computational algorithm-based controller. The PSO-based controller was implemented in the literature with resistive and inductive loads. In this paper, PSO-, modified PSO-, modified hybrid PSO-based controllers were implemented with induction motor as load. This soft computing-based controller for MC effectively reduces the harmonic content by choosing the optimal switching pulses for each sampling. The simulation results were carried out on the MATLAB/Simulink interface. Both Simulink and hardware results of the MC strongly recommend the soft computing-based controller for MC to improve the behavior.

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Abbreviations

w o :

Input angular frequency

q :

Modulation index

f s :

Source frequency

f o :

Load frequency

V om :

Peak value of output voltage magnitude

V im :

Peak value of input voltage magnitude

Vs(t):

Source voltage

R f :

Filter resistance

L f :

Filter inductance

C f :

Filter capacitance

Vi(t):

Input voltage

Is (t):

Input current

W :

Inertia weight factor

Vo(t):

Output voltage

io(t):

Output current

RL :

Load resistance

L L :

Load resistance

V t+1 i :

Updated velocity of the ith particle

V t i :

Velocity of the ith particle

C1, C2 :

Position constant

R1, R2 :

Random constant

Pbestti :

Best previous position of the ith particle

Gbestti :

Best particle among all the particles in the swarm

S t i :

Switching state of ith particle

S t+1 i :

Updated switching state of ith particle

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India

    Ch. Amarendra

  2. Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering (Autonomous), Mylavaram, Krishna Dt., Andhra Pradesh, 521230, India

    K. Harinadha Reddy

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  1. Ch. Amarendra
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  2. K. Harinadha Reddy
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Correspondence to Ch. Amarendra.

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Amarendra, C., Reddy, K.H. Performance analysis intelligent-based advanced PSO algorithm and testing of real-time matrix converter electrical system. Soft Comput 24, 14209–14220 (2020). https://doi.org/10.1007/s00500-020-04789-9

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