Multi-objective optimization based on Genetic Algorithm for PID controller tuning
WANG Guo-liang, Yan Wei Wu, Shao Hui He
Institute of Automation, Shanghai Jiaotong University, Shanghai 200240, China
Abstract:
To get the satisfying performance of a PID controller, this paper presents a novel Pareto-based multi-objective genetic algorithm (MOGA), which can be used to find the appropriate setting of the PID controller by analyzing the pareto optimal surfaces. Rated settings of the controller by two criteria, the error between output and reference signals and control moves, are listed on the pareto surface. Appropriate setting can be chosen under a balance between two criteria for different control purposes. A controller tuning problem for a plant with high order and time delay is chosen as an example. Simulation results show that the method of MOGA is more efficient compared with traditional tuning methods.
Key words: multi-objective optimization genetic algorithms PID controller
DOI：10.11916/j.issn.1005-9113.2009.01.015
Clc Number:TP18;TP273
Fund:
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Multi-objective optimization based on Genetic Algorithm for PID controller tuning
本站小编 哈尔滨工业大学/2019-10-23
相关话题/Multi-objective optimization based Genetic Algorithm
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