Engineering

Author: Waqas Javaid

Introduction:

In this project, a groundbreaking single-phase bidirectional current-source AC/DC converter tailored for Vehicle-to-Grid (V2G) applications is unveiled. The converter is ingeniously designed; comprising a line frequency commutated unfolding bridge and an interleaved buck-boost stage. Notably, the semiconductor losses within the line frequency commutated unfolding bridge contribute to the converter’s commendable efficiency. The interleaved buck-boost stage further enhances performance with its dual capabilities of buck and boost operating modes, facilitating seamless operation across a broad battery voltage range [2]. The interleaved structure of this stage significantly reduces battery current ripple. Beyond these advantages, the converter ensures sinusoidal input current, bidirectional power flow, and the capability for reactive power compensation. This project delves into the intricate topology and operational principles of this innovative converter, shedding light on its potential impact in the realm of V2G applications.

Author: Waqas Javaid

Abstract:

This MATLAB script presents a comprehensive framework for the calibration and design of high-precision sensor systems tailored for optomechanical applications. The script encompasses the calibration of cavity optomechanical displacement-based sensors, as well as the design considerations for accelerometers, force detection sensors, and torque magnetometry sensors. The calibration procedure involves processing sensor data, particularly from accelerometers and magnetometers, to derive accurate calibration parameters. A key aspect of the calibration process involves performing a spherical fit on the magnetometer data to determine the center, residue, and radius of the fitted sphere [1]. These calibration parameters are essential for ensuring the accuracy and reliability of sensor measurements.

The MATLAB script also includes simulations and visualizations to illustrate the calibration procedure and sensor design. Furthermore, the project incorporates Simulink models to simulate MEMS accelerometer systems, integrating force, translational dynamics, and voltage outputs. The resulting framework provides a comprehensive toolkit for sensor calibration, design, and simulation, contributing to advancements in high-precision sensor technologies. In addition to calibration, the script provides a platform for designing sensor systems suitable for various applications [2] [3]. Designs for accelerometers, force detection sensors, and torque magnetometer sensors are defined, considering parameters such as sensitivity, frequency range, and noise levels. These designs serve as a foundation for developing sensor systems tailored to specific operational requirements. The MATLAB code simulation also generates informative visualizations, including plots of sensor data, calibration results, and sensor designs. These visualizations aid in understanding the behavior and performance characteristics of the sensors, facilitating informed decision-making during sensor calibration and system design processes.

Author: Waqas Javaid

1. Introduction

Creating a unique preamplifier for electret microphones with the intention of amplifying the signal to “line input” level is the major objective of this project. Due to their effectiveness and performance in the mid-to high-frequency range, electret microphones are unique in the audio business. We developed and examined the design using LTspice in order to satisfy particular test requirements, such as equipment, power supply, battery life, output voltage, harmonic variance, frequency response, and signal-to-noise ratio (SNR) [1] [2]. The bias resistor (R2), coupling capacitors (C2 and C3), and load resistor (R3) are among the first crucial parts to choose. Examining LTspice’s vast collection of test instruments and operational amplifiers, we thoroughly consider each choice to ascertain how well it will work and function in the designed designs. And attaching capacitors while considering the bias spectrum of 3 to 10 V and mentioning the necessity of blocking DC signals when attaching the output to the amplifier. First, a breakdown of the necessary input voltage and an explanation of the non-inverting amplifier that our design calls [3].

With this foundational knowledge in hand, we go on to discuss the product’s performance metrics, which are all examined in accordance with the earlier guidelines [4]. These metrics include frequency response, maximum output power, harmonic distortion, SNR, fuel lamp life, and cost. Through this study, we hope to improve the design of a preamplifier that not only satisfies requirements but also demonstrates the mutually beneficial relationship between theoretical design concerns and empirical validation. Through this endeavor, we hope to emphasize the significance of precision engineering for the use of electronics, particularly in the provision of signal processing.

Author: Waqas Javaid

Abstract

As electric vehicles (EVs) gain increasing adoption, the demand for efficient, scalable, and safe charging systems becomes paramount. This article presents the design and simulation of a high-voltage Electric Vehicle (EV) charger integrated with a DC-DC converter using MATLAB and Proteus. The system is developed to step down an input voltage to a stable 800V DC suitable for EV battery charging. A buck converter topology is employed, ensuring efficient energy conversion and voltage regulation. Comprehensive component selection, including MOSFETs, inductors, capacitors, and control ICs, is based on power requirements and simulation analysis. A feedback loop and snubber circuits are integrated for protection and control. The system includes AC-DC rectification, DC-AC inversion, and transformer voltage boosting before final DC conversion. MATLAB simulation results validate system performance, demonstrating stable output voltage and current. Proteus is used for hardware-level validation of control and power components. The simulation outputs confirm the reliability and efficiency of the proposed EV charging system. This design contributes toward robust and scalable EV charging infrastructure solutions.

Author: Waqas Javaid

ABSTRACT

In this report a brief review on multilevel inverters and different multilevel inverter topologies are discussed. Inverter is a power electronic device that converts DC power into AC power at desired output voltage and frequency. Multilevel inverters nowadays have become an interesting area in the field of industrial applications. This Project mainly involves analysis of Cascaded H-bridge topology, conduction loss and switching loss calculations, LC filter design and different SPWM modulation techniques. It also involves implementing 3-level CHB MLI with and without SPWM on the Arduino UNO board.

Author: Waqas Javaid

• Report layout and clarity

The detailed design and MATLAB Simulink simulation of control systems for regulating reactor process temperature and liquid level are shown in this research. Feedforward, cascade, open-loop, and single-loop feedback are the four control techniques discussed. By carefully building, fine-tuning, and assessing each methodology’s performance, the article sheds light on its advantages and disadvantages. A customized strategy based on a distinct physical environment (hot mixing tank) is also recommended in order to ensure academic originality when replicating the assignment.

• Problem statement

In modern industrial settings, reactor operations are widely used in chemical and medical field. Due to this, it must be carefully regulated to ensure safety, maintain product quality, and optimize resource utilization. In most chemical and thermal reactors, two critical parameters that must be strictly regulated to avoid operating risks and inefficiencies are temperature and liquid level. Inadequate control may lead to hazards like as spillage, thermal runaway, or subpar chemical process performance. The goal of this project is to develop, simulate, and assess effective control strategies for these two variables using MATLAB Simulink. The research examines several control approaches, including as feedforward, cascade, feedback (single-loop), and open-loop systems, to determine which control strategies offer the most accurate and dependable performance under different disturbance scenarios [1] [2].

Abstract — This work investigates the leader-follower formation control of multi-robot systems, an important field in robotics with broad applications in agriculture, logistics, and surveillance. The work illustrates the efficacy of geometric, potential field, and behavior-based control techniques in producing and sustaining desirable shapes through a thorough implementation utilizing the Turtlesim simulator in ROS. The technological difficulties posed by dynamic and unstructured environments are discussed, emphasizing the ongoing need for advancements in coordination and control algorithms [2] [3]. This work critically assesses the ethical ramifications of using autonomous robots in larger social contexts, going beyond their technical limitations. Safeguarding privacy to preserve sensitive data, removing algorithmic bias to ensure fairness, addressing the socioeconomic effects of potential employment displacement, and assuring safety to prevent accidents are among the main challenges [5]. The project intends to pave the road for the responsible and sustainable integration of these technologies into society, ensuring they contribute positively while reducing potential negative effects, by including ethical considerations into the design and deployment of autonomous robots.

Keywords — autonomous robots, geometric control, multi-robot systems, ROS, Turtlesim, algorithmic bias, safety, privacy, ethical concerns, urban deployment, autonomous navigation, robotic coordination, leader-follower formation control.

Author: waqas javaid
Platform: Wirewhite

Abstract

This research focuses on design and stability analysis of a humanoid robot using a TonyPi model in the blender 3D simulation environment. Humanoid robots are quickly integrated into real world applications, where stability is a significant requirement under dynamic conditions. The purpose of the study is to find out how robots during simulation affect the environmental change and the object interaction balance [1]. A completely rigged 3D robot model was created and analyzed in four separate scenes: two stable and two unstable. Standing scenes involved adaptation of currency and surface friction adaptation, while unstable scenes had interesting aircraft and object conflicts. The most important simulation parameters such as frame frequency solve repetitions and replacements were adjusted to reflect realistic dynamics. The results demonstrated how physical properties and visual configurations directly affect the robotic balance. The use of blender enabled high -color visualization and dynamic testing. This study reveals the importance of simulation in robotics design and validates the aperture as a reliable tool for pre-premature verification.

The EU’s greenhouse gas reduction targets are of vital importance. To address the solution, micro-scale solutions tailored to regional needs and the cost-effective use of renewable energy sources are essential. Wind turbines (onshore/offshore) are a widely used option; the electricity they generate can be fed into the grid or used for hydrogen production via electrolysis. Tidal energy, on the other hand, stands out due to its high predictability and energy density (enabling high production with smaller turbines because water is 800 times denser than air), offering advantages such as a low carbon footprint and a 20-25 year lifespan. It holds significant potential in regions like the coasts of the UK, France, and Norway. Tidal energy has the potential to be an important component of a sustainable energy future.