The main objective of this project is to track the desired signals and regulate the plant process variables in the most beneficial and optimized way without delay and overshoot.
In this paper, Cascade PI Controller-Based Robust Model Reference Adaptive Control (MRAC) of a DC-DC boost converter is presented. Non-minimum phase behavior of the boost converter due to right half plane zero constitutes a challenge and its non-linear dynamics complicate the control process while operating in continuous conduction mode (CCM). The proposed control scheme efficiently resolved complications and challenges by using features of cascade PI control loop in combination with properties of MRAC. The accuracy of the proposed control system’s ability to track the desired signals and regulate the plant process variables in the most beneficial and optimized way without delay and overshoot is verified using MATLAB/Simulink by applying comparative analysis with single PI and cascade PI controllers.
Keywords: Cascade PI controller, control systems mathematical models, model reference adaptive control, state-space averaging method, time and frequency domain analysis.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Software Configuration:
Operating System : Windows 7/8/10
Application Software : Matlab/Simulink
Hardware Configuration:
RAM : 8 GB
Processor : I3 / I5(Mostly prefer)