An Artificial Immune System Algorithm with Social Learning and Its Application in Industrial PID Controller Design

Mingan Wang, Shuo Feng, Chunhui He, Zhonghua Li and Yu Xue

Mathematical Problems in Engineering, 2017, vol. 2017, 1-13

Abstract:

A novel artificial immune system algorithm with social learning mechanisms (AIS-SL) is proposed in this paper. In AIS-SL, candidate antibodies are marked with an elitist swarm (ES) or a common swarm (CS). Correspondingly, these antibodies are named ES antibodies or CS antibodies. In the mutation operator, ES antibodies experience self-learning, while CS antibodies execute two different social learning mechanisms, that is, stochastic social learning (SSL) and heuristic social learning (HSL), to accelerate the convergence process. Moreover, a dynamic searching radius update strategy is designed to improve the solution accuracy. In the numerical simulations, five benchmark functions and a practical industrial application of proportional-integral-differential (PID) controller tuning is selected to evaluate the performance of the proposed AIS-SL. The simulation results indicate that AIS-SL has better solution accuracy and convergence speed than the canonical opt-aiNet, IA-AIS, and AAIS-2S.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:3959474

DOI: 10.1155/2017/3959474

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