Numerical Integration Based analysis of Pulse Width Modulated voltage source inverter

Zubair, Abdul Rasak

doi:10.1109/icastech.2009.5409707

Cited by 3 publications

(5 citation statements)

References 8 publications

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“…(22) and explained in Eqns. (23) and (24). Each of these factors will have a constant in the numerator to adjust the Gain to unity (0 dB) at ω = 0.…”

Section: Butterworth Approximationmentioning

confidence: 99%

“…(67). Numerical Integration is used to evaluate the integral [24]. The area under the curve of f(x) between 𝑥 = 0 and 𝑥 = ϕ is divided into small elements of width Δx as illustrated in Fig.…”

Section: Elliptic Approximationmentioning

confidence: 99%

“…7 [24]. The sum of the areas of the elements tends to be equal to the integral as Δx approaches 0 as described by Eqn.…”

Section: Elliptic Approximationmentioning

confidence: 99%

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Active learning strategy: Computer aided numerical class project on pole-zero plot and transfer function of five low pass filter approximation functions

Zubair¹,

Olawale²

2022

Global J. Eng. Technol. Adv.

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The conversion of the concept and the teaching of approximation function for analog low pass filter to computer aided numerical class project as an active learning strategy is presented. Governing equations for five approximation functions are presented and discussed. It is recommended that students are tasked to develop computer programs in any convenient computer programming language to make the pole-zero plot, obtain the transfer function, and plot the frequency response of low pass filters. Steps for such programs are suggested. Typical programs were developed and tested. The pole-zero plots and frequency response graphs generated are good illustrative and innovative teaching aids. Linear-phase response over the passband is a characteristic of Bessel approximation function but suffers less amplitude discrimination in the stopband. Chebyshev and Inverse Chebyshev approximation functions have the same order requirement which is usually greater than that of Elliptic approximation function but less than that of Butterworth approximation function. Elliptic approximation function is the best choice although it is more complex than the others. Through this computer aided numerical class project, the authors themselves gained more insight in the subject matter; certainly, students will learn actively.

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“…(22) and explained in Eqns. (23) and (24). Each of these factors will have a constant in the numerator to adjust the Gain to unity (0 dB) at ω = 0.…”

Section: Butterworth Approximationmentioning

confidence: 99%

Section: Elliptic Approximationmentioning

confidence: 99%

See 1 more Smart Citation

Active learning strategy: Computer aided numerical class project on pole-zero plot and transfer function of five low pass filter approximation functions

Zubair¹,

Olawale²

2022

Global J. Eng. Technol. Adv.

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“…In digital or pulse modulation, the carrier is also known as a sampling signal and it is a train of pulses. There are many types of digital or pulse modulation techniques such as Pulse Amplitude Modulation (PAM), Pulse Code Modulation (PCM), Delta Modulation (DM), and Pulse Width Modulation (PWM); just to mention a few [14,16,17,18,19]. PAM and DM are considered for digital modulation in this work.…”

Section: Introductionmentioning

confidence: 99%

Experiments on Digital Filtering of Analog Signals: Pulse Amplitude Modulation and Delta Modulation

Zubair¹

2023

Global J. Eng. Technol. Adv.

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To boost students' active learning and understanding of abstract scientific concepts, hands-on learning experiences such as experiments are necessary. Computer simulations also allow students to carry out experiments virtually. Analog signals are processed using digital signal processing because of the advantages of digital signal processing over analog signal processing. Numerical experiments, results, and observations on digital band pass filtering of analog signals are presented. Two types of digital modulation are employed: Pulse Amplitude Modulation (PAM) and Delta Modulation (DM). Results demonstrated higher suppression of frequencies in the stopband compared with the transition band. Frequencies in the passband suffer minimum or no attenuation. The phase difference between input and output signals, transient response, and steady state response are observed vividly. PAM is found to add less noise to the system compared with DM. These experiments are recommended as virtual laboratory exercises for undergraduate and postgraduate studies for active learning purposes.

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“…Solution to an engineering problem may require more computations than is possible by hand. A digital computer is, therefore, an essential tool in solving engineering problems [10], [11], [12]. Engineering students need to be familiar with Computer-aided engineering which is the process of solving engineering problems with the aid of computer software.…”

Section: Introductionmentioning

confidence: 99%

Engineering Education: Computer-Aided Engineering with MATLAB; Discrete Wavelet Transform as a Case Study

Rasak¹,

Kola²

2019

IJCA

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Engineering education is to move engineering students along the progressive path from being novices toward becoming experts in design, problem-solving and application of knowledge. Engineering problem may require more computations than is possible by hand. Computer-aided engineering is the process of solving engineering problems with the aid of computer software. Engineering Lecturers need to help engineering students to develop expertise in Computer-aided engineering with examples. The development of Discrete Wavelet Transformation is used as a case study. A wavelet is a small wave whose energy is concentrated in time. Wavelets applications include signal processing, noise filtering, image processing, and document analysis. Among wavelet families, Haar wavelet is selected. Scientific representations of the problem and a logical plan of attacking the problem are presented. Necessary equations are derived. A modular approach to programming is demonstrated. A complex problem is broken down into simple tasks and steps which are coded into simple short MATLAB programs. A program calls another program to execute some specific tasks. Programs are checked against possible errors using a situation where the answers are known. Discrete wavelet transformation and inverse discrete wavelet transformation for 1D, 2D, and 3D discrete-time signals have been implemented. 2D gray level images and 3D color images are also considered. The use of similar examples is recommended for Engineering Lecturers.

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Numerical Integration Based analysis of Pulse Width Modulated voltage source inverter

Cited by 3 publications

References 8 publications

Active learning strategy: Computer aided numerical class project on pole-zero plot and transfer function of five low pass filter approximation functions

Active learning strategy: Computer aided numerical class project on pole-zero plot and transfer function of five low pass filter approximation functions

Experiments on Digital Filtering of Analog Signals: Pulse Amplitude Modulation and Delta Modulation

Engineering Education: Computer-Aided Engineering with MATLAB; Discrete Wavelet Transform as a Case Study

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