Enhanced Optimization of Shell Heavy Oil Fractionator using Tree Seed Algorithm-based Decentralized PID Controller with Disk Margin Analysis
Abstract
This study focuses on optimizing the operation of a shell-heavy oil fractionator system through the utilization of a PID controller tuned with the Tree Seed Algorithm (TSA). The primary objective is to improve system performance and robustness. The proposed approach considers essential factors including closed-loop gain, stability margins, and performance indices. Further, the controller is realized by imposing constraints on these factors. Robustness is further evaluated through a comprehensive disk margin analysis. The obtained simulation results demonstrate the remarkable efficacy of the TSA-tuned PID controller, showcasing substantial improvements in system performance, stability, and robustness within the complex shell-heavy oil fractionator system. This innovative methodology presents a promising avenue for advancing the field of industrial process optimization and control strategies.
