Optimal FOPID controller design AVR is a M.Tech project topic for Electrical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Optimal FOPID controller design AVR Project Details
| Abstract |
This project explores an advanced methodology for tuning fractional-order Proportional-Integral-Derivative (FOPID) controllers within Automatic Voltage Regulator (AVR) systems, addressing the inherent high-dimensional and non-convex optimization challenges. A Chaotic-Enhanced Phototropic Growth Algorithm (C-PGA) is proposed to overcome the premature convergence issues and insufficient population diversity observed in the standard Phototropic Growth Algorithm (PGA). The C-PGA integrates a Logistic chaotic map to optimize population initialization and introduce dynamic perturbations during optimization stagnation, thereby enhancing both global exploration and local exploitation capabilities. The optimization process is guided by a weighted multi-objective function that considers integral time absolute error (ITAE), overshoot, and steady-state error. Simulation results, obtained using MATLAB/Simulink, demonstrate that the C-PGA-tuned FOPID
controller achieves superior performance, characterized by near-zero overshoot, improved transient responses, robust stability under significant parameter perturbations (± 50%), and effective disturbance rejection. Comparative analysis using Wilcoxon rank-sum tests confirms the competitive performance of the C-PGA against established classical and modern optimization algorithms, highlighting its potential for effective voltage regulation in simplified linear AVR benchmarks.
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| Reference Paper |
Optimal FOPID controller design for an AVR system using a Chaotic-Enhanced Phototropic Growth Algorithm (C-PGA) |
| Domain |
Electrical Engineering |
| Sub-Domain |
Control Systems / Advanced Control |
| PDF Download |
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