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Browsing Research Repository by Author "Alam, Sarfaraz"

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    Internal Model Control Based Controller Synthesis for Two Tank System
    (National Institute of Technology, Silchar, 2026) Alam, Sarfaraz
    This thesis presents the modeling and two control of a two-tank liquid level system using fractional order controller and gain scheduling techniques. In order to develop precise dynamic models that represent the nonlinear and dynamic behaviour of the process, system identification was carried out at several operational levels. Internal Model Control (IMC) principles were used to design a fractional-order PI (FOPI) controller based on these identified models, which offers more robustness and more tuning flexibility than the traditional integer-order PI controller. Faster settling, less overshoot, and a strong disturbance-rejection capability was shown by the fractional controller, indicating that it is suitable for processes with time delay and parameter fluctuations. A gain-scheduling framework was designed to handle performance fluctuations over the operating range. IMC-based tuning was used to generate different PID controllers once five operational points were chosen. In order to guarantee seamless transitions and reliable closed- loop behaviour, the scheduler adjusted the controller gains in real time based on the tank level. In comparison to a single fixed controller, simulation experiments showed that the gain- scheduled PID performed better tracking and disturbance rejection, especially when challenged to step disturbances at 100 seconds. Overall, reliable and flexible control framework for the two-tank system was produced using both fractional-order control and gain-scheduling techniques. These techniques allow the controller to manage changes in operational condition without changing performance. For nonlinear, time-varying, and operating-point-dependent industrial processes, the both methods provide a practical and affordable solution.