Department of Electrical Engineering

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Author: search.filters.author.Dr. Mujtaba Jaffery, Assistant Profesor [Supervisor]Subject: search.filters.subject.department of electrical engineering

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    Design And Implementation Of A Simulation Tool For
    (Publisher COMSATS University Islambad Lahore Campus, 2021) Ruqia Fatima,; SP17-REE-025; Dr. Mujtaba Jaffery, Assistant Profesor [Supervisor]
    Solar power is a feasible source of renewable energy. Solar cars are becoming alternatives to cleaner emissions in transportation sector. Therefore, this field is becoming of great interest for the researches. To develop, analyze and implement the system, a necessity of a simulation tool comes in front. A tool that can analyze the design of a mathematical model, associated with different electrical and mechanical components in a system, plays a vital role to study their characteristics. This project is about modeling of different components of a solar powered electric car mathematically, to evaluate the characteristics of various components of the solar car along with its capability of determining the overall performance. The basic components, which are the part of this project, are: solar panel, battery, traction motor, charge controller and speed controller. The simulation tool selected for the project is SIMULINK, a graphical programming tool used with MATLAB, for plotting the graphs to study the dynamic behavior of different subsystems. Finally, all the mathematical models of components used in the system are integrated together to represent a complete dynamic model of a solar car, which is tested for three different environmental conditions that include sunny day, partially cloudy day and mostly cloudy day. The performance of the system is observed under these conditions.
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    Performance Analysis Of Mars Powered Descent Based
    (Publisher COMSATS University Islambad Lahore Campus, 2021) Adnan Khalid,; FA17-REE-017; Dr. Mujtaba Jaffery, Assistant Profesor [Supervisor]; LHR TP 5638
    It is imperative to find new places other than Earth for the survival of human beings, which can be in our solar system or outside the solar system. Mars could be the alternative to Earth in future for us to live. In this context many missions have been performed by different space agencies to examine the planet Mars. For such missions, planetary precision landing is a major challenge for the precise landing of unmanned and manned missions on Mars. Mars landing consist of different phases (Hypersonic Entry, Parachute Descent, Terminal Descent comprising of Gravity turn and Powered descent), however in this work the focus is the powered descent phase of landing. Firstly, the main objective of this work is to minimize the landing error during powered descend landing phase. The second objective involves the constrained optimization in a predictive control framework for landing at non-cooperative sites. Different control algorithms like PID, LQR have been developed for the stated problem, however predictive control algorithm with constraint handling ability hasn’t been explored much. This research discusses the Model Predictive Control algorithm for the powered descent phase of landing. Model Predictive Control (MPC) considers input/output constraints in the calculation of the control law and thus it came out to be very useful for the stated problem as shown in the results. The main novelty of this work is the implementation of different variants of predictive algorithm. Along with MPC, Multiple MPC, Explicit MPC and Multiple Explicit MPC are the variants that have been explored and implemented for powered descent phase. The comparison is done among the variants of MPC in terms of feasibility, hard constraints and computational time. Moreover, other conventional control algorithms like PID and LQR are used as a comparative study with the proposed predictive algorithms. These control algorithms are implemented on quadrotor UAV (which emulates the dynamics of a planetary lander) to verify the feasibility through simulations in MATLAB. It was concluded that MPC and its variant can handle input/output constraints without causing feasibility issue