Research Article
Optimization-Based Robust PID Controller to Enhance the Performance of Conical Tank System
@INPROCEEDINGS{10.1007/978-3-030-80618-7_36, author={Mulugeta Debebe and Beza Nekatibeb}, title={Optimization-Based Robust PID Controller to Enhance the Performance of Conical Tank System}, proceedings={Advances of Science and Technology. 8th EAI International Conference, ICAST 2020, Bahir Dar, Ethiopia, October 2-4, 2020, Proceedings, Part II}, proceedings_a={ICAST PART 2}, year={2021}, month={7}, keywords={PID controllers Nominal model Uncertain system PSO}, doi={10.1007/978-3-030-80618-7_36} }- Mulugeta Debebe
Beza Nekatibeb
Year: 2021
Optimization-Based Robust PID Controller to Enhance the Performance of Conical Tank System
ICAST PART 2
Springer
DOI: 10.1007/978-3-030-80618-7_36
Abstract
This paper uses a particle swarm optimization (PSO) approach in order to identify nominal model parameters and to tune a Proportional- Integral - Derivative (PID) controller. In order to analyze the nominal model uncertainty, lumped multiplicative uncertainty structure is used to account unmodeled dynamics and nonlinearties. Moreover, first order weighting function through trial and error approximation method that limits the upper bound of the multiplicative uncertainty has been found. The Nominal model is used to design PSO optimized PID controller; and then the simulated results are compared with ACO based PI controller. The results show that the PSO optimized PID controller shows smooth and enhanced performance in terms of speed of response. And PSO based approach can efficiently applied in identifying the parameters of the system and tuning the PID controller for this particular system.
