Multi-objective PI controller tuning using NSGA-II with preferability

This paper introduces a modified nondominated sorting genetic algorithm-II (NSGA-II) to deal with nine objectives for a PI controller tuning problem. With the preferability operator which consists of goals and priorities, the optimal solutions are determined according to the setting preferability ra...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhang, Tao, Yin, Xiaokang
Format: Conference Proceeding
Language:English
Subjects:
Computational efficiency
Genetic algorithms
Multi-objectives optimization
NSGA-II
Optimization
PI control
PI controller
preferability
Sorting
Tuning
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper introduces a modified nondominated sorting genetic algorithm-II (NSGA-II) to deal with nine objectives for a PI controller tuning problem. With the preferability operator which consists of goals and priorities, the optimal solutions are determined according to the setting preferability rather than conventional weak dominance. In addition, pre-clustering analysis is also utilized in the optimization process to reduce computational cost. The final results show that all objectives are satisfied with better performances comparing with the conventional NSGA-II, which proves the feasibility and effectiveness of this modified method.
ISSN:2161-2927
DOI:10.23919/CCC52363.2021.9550634