FPGA-based implementation of online selective harmonic elimination PWM for voltage source inverter

Bendib, Douadi; Larbes, Cherif; Guellal, Ammar; Khider, Moussa; Fethi, Akel

doi:10.1080/00207217.2017.1321147

Cited by 11 publications

(2 citation statements)

References 24 publications

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“…This aforementioned is repeated for various modulus indices (M) ranging from 0.01 to 1.20. A genetic algorithms evolves a set of solutions (α1, α2, α3, ..., αk) called the population, which is randomly initialized, to efficiently guide the search towards good solutions in the research space [13] The fitness function makes it possible to minimize the low-order harmonics of a three-phase inverter (5 th , 7 th , 11 th ... 31 th harmonics) for obtaining an optimal solution to eliminate prespecified harmonics [34]. The fitness function for five switching angles is given as follows.…”

Section: Calculation Methodsmentioning

confidence: 99%

SHEPWM in three-phase voltage source inverters by modified Newton–Raphson

Bousmaha

Bechekir

Abdeslam

et al. 2023

IJPEDS

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This paper describes a new strategy for optimizing the switching angles of a three-phase inverter in a photovoltaic system. It presents non-traditional solutions to the problem of selective harmonic elimination (SHE) in three-phase inverter (VSI)-fed induction motor drives. The aforementioned problem was solved independently by using hybrid genetic algorithms (HGAs) and a modified Newton–Raphson method. GAs can obtain the correct solution even if the first generation is arbitrary. The solution then converges rapidly. The modified Newton–Raphson method is used to solve transcendental equations of the SHE pulses width modulation (SHEPWM) technique, which is a unique method that produces all possible solutions without assuming the initial angles. This modified technique is not complex and ensures rapid convergence to the solution. A real-time experimental verification of the SHEPWM technique was performed in the OP5600 RT-Lab simulator. The results obtained show that the proposed SHEPWM algorithm controls the fundamental voltage and effectively eliminates the desired harmonics, and that the evolution of the signal quality increases according to the modulation index. For M=1.1 the SHE-PWM gives the best result: a current THD of 5% for a switching frequency of 1150 Hz.

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Section: Calculation Methodsmentioning

confidence: 99%

SHEPWM in three-phase voltage source inverters by modified Newton–Raphson

Bousmaha

Bechekir

Abdeslam

et al. 2023

IJPEDS

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“…Arranged worth and also the formerly determined worth associated with pace are going to be studied as well as delivered to the actual PID controller being a mistake as soon as it's produced. Within the suggestions program, the present pace optical sensor, as well as the heartbeat counter-top component, can be used inside it [26]. Following the assessment, the actual PID controller component may determine the same PID worth and can deliver this towards the PWM electrical generator component.…”

Section: Methodsmentioning

confidence: 99%

Monitoring and controlling the speed and direction of a DC motor through FPGA and comparison of FPGA for speed and performance optimization

Abbas

Chisab

Mnati

2021

IJECE

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We are living in the 21st century, an era of acquiring necessity in one click. As we, all know that technology is continuously reviving to stay ahead of advancements taking place in this world of making things easier for mankind. Technology has been putting his part in introducing different projects as we have used the field programmable gate arrays (FPGAs) development board of low cost and programmable logic done by the new evolvable cyclone software is optimized for specific energy based on Altera Cyclone II (EP2C5T144) through which we can control the speed of any electronic device or any Motor Control IP product targeted for the fan and pump. Altera Cyclone FPGAs’ is a board through which we can monitor the speed and direction of the DC motor. As we know how to make understand, dynamic analog input using an A-to-D convertor and we know how to create pulse width modulation (PWM) output with FPGA. Therefore, by combining these two functions we can create an FPGA DC motor controller. Our paper is divided into three parts: First, all of us will attempt to imitate the issue and can try to look for its answer. Secondly, we will try to verify the solution for real-time. In addition, in the last step, we will verify the solution on the real-time measurements.

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