Multi-objective Optimization of PID Controller using Pareto-based Surrogate Modeling Algorithm for MIMO Evaporator System
| Main Authors: | Faruq, Amrul, Shah, Mohd Fauzi Nor, Abdullah, Shahrum Shah |
|---|---|
| Format: | Article PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
Institute of Advanced Engineering and Science (IAES)
, 2018
|
| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/57806/7/Faruq%20Shah%20Abdullah%20-%20MIMO%20Evaporator%20Multi-objective%20Optimization%20PID%20Controller%20surrogate%20Modeling.pdf http://eprints.umm.ac.id/57806/ http://ijece.iaescore.com/index.php/IJECE/article/view/7442 |
Daftar Isi:
- Most control engineering problems are characterized by several objectives, which have to be satisfied simultaneously. Two widely used methods for finding the optimal solution to such problems are aggregating to a single criterion, and using Pareto-optimal solutions. This paper proposed a Pareto-based Surrogate Modeling Algorithm (PSMA) approach using a combination of Surrogate Modeling (SM) optimization and Pareto-optimal solution to find a fixed-gain, discrete-time Proportional Integral Derivative (PID) controller for a Multi Input Multi Output (MIMO) Forced Circulation Evaporator (FCE) process plant. Experimental results show that a multi-objective, PSMA search was able to give a good approximation to the optimum controller parameters in this case. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) method was also used to optimize the controller parameters and as comparison with PSMA.