Novel Approach to Nonlinear PID Parameter Optimization Using Ant Colony Optimization Algorithm

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Novel Approach to Nonlinear PID Parameter Optimization Using
Ant Colony Optimization Algorithm

Duan Hai-bin¹; Wang Dao-bo²; Yu Xiu-fen³

1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, P. R. China . 2.College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China 3. Centre for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100080, P. R. China

Received:1900-01-01 Revised:1900-01-01 Online:2006-06-30 Published:1900-01-01
Contact: Duan Hai-bin

Abstract

Abstract:

This paper presents an application of an Ant Colony Optimization (ACO) algorithm to optimize the parameters in the design of a type of nonlinear PID controller. The ACO algorithm is a novel heuristic bionic algorithm, which is based on the behaviour of real ants in nature searching for food. In order to optimize the parameters of the nonlinear PID controller using ACO algorithm, an objective function based on position tracing error was constructed, and elitist strategy was adopted in the improved ACO algorithm. Detailed simulation steps are presented. This nonlinear PID controller using the ACO algorithm has high precision of control and quick response.

Key words: algorithm, Ant Colony Optimization, pheromone, nonlinear PID, parameter optimization

Duan Hai-bin¹; Wang Dao-bo²; Yu Xiu-fen³. Novel Approach to Nonlinear PID Parameter Optimization Using
Ant Colony Optimization Algorithm
[J].J4, 2006, 3(2): 73-78.

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Novel Approach to Nonlinear PID Parameter Optimization Using
Ant Colony Optimization Algorithm

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