Browsing by Author "Hafiz Zaheer Hussain"

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    Design & implementation digital liquid level control system using microcontroller
    (UMT.Lahore, 2013) Muhammad Nadeem Hussain; Muhammad Afzal; Hafiz Zaheer Hussain; Arusha Azhar
    Digital Liquid Level Control System” as cleared by its name that this project is digitally controlled through the digital microcontrollers such as PIC16F877A. The aim of this project is to maintain the fluid level in the tanks by using the techniques of microcontroller. Instead of analogue the digital control is carried out through the microcontrollers by developing their algorithms and using the feed-back by the appropriate sensors. Coupled-tanks model which resembles the model of the chemical or mixing process plant is used to evaluate the performance of digital liquid level control system under various conditions. Simulation work is carried out using MATLAB® and Proteus to control the modeled nonlinear coupled tanks using the microcontroller algorithm. It is also utilized to show that the controller can produce the appropriate control signals to the coupled tank system’s control devices to control the liquid level in the presence of plant nonlinearity, disturbance and measurement noise. Basically in this project there are three main fields of work, mathematical work related to this project, simulation work and hardware developing of the project. Initially the mathematical work will be completed then simulation and at the end the hardware will be implemented. At the end the results will be compared of the simulated work with the real developed hardware.
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    Optimizing the non cascaded short term hydrothermal scheduling using accelerated particle swarm optimization (apso) algorithm
    (UMT.Lahore, 2016) Hafiz Zaheer Hussain
    Efficient planning and optimal economic operation of power generation systems have played a major role in the growth of electrical power industry. Future energy demand not only depends upon increase of power generation units, but also requires the optimal operation of existing power systems. The cost of hydroelectric power generation is minimum but is not enough to fulfill the consumer’s electric power demand. Hence hydroelectric power system is used in conjunction with the thermal power system. A hybrid of both these electrical generation processes increase the overall power generation cost. In this thesis a meta-heuristic Accelerated Particle Swarm Optimization (APSO) algorithm has been proposed for hydro-thermal scheduling problem. The performance of the APSO algorithm has better than the existing various optimization techniques such as Lagrange Multiplier, Gradient Search, Simulated Annealing, Genetic Algorithm, Evolutionary Programming and its variants, Canonical Particle Swarm Optimization and its variants. It takes extremely less execution time and minimum number of iterations required to reduce the overall production cost of short term hydrothermal scheduling problem while meeting all constraints with and without considering transmission losses.