Application of Imperialist Competitive Algorithm in Online PI Controller

Mohammad Ahmadi Movahed; Amir Mehdi Yazdani; Amirmehdi Yazdani

doi:10.1109/ISMS.2011.23

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Application of Imperialist Competitive Algorithm in Online PI Controller

Mohammad Ahmadi Movahed, Amir Mehdi Yazdani and Amirmehdi Yazdani

2011 Second International Conference on Intelligent Systems, Modelling and Simulation, pp.83-87

2011 Second International Conference on Intelligent Systems, Modelling and Simulation (Phnom Penh, Cambodia, 25/01/2011–27/01/2011)

2011

DOI: https://doi.org/10.1109/ISMS.2011.23

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Abstract

Adaptation model

Algorithm design and analysis

Chemical reactors

Gain Scheduling

Imperialist Competitive Algorithm (ICA)

Inductors

Mathematical model

Optimization

PI controller

Tuning

In this paper, imperialist competitive algorithm is applied to the problem of finding the optimum value for an online PI controller. The objective is to design an adaptive controller for temperature control of non-isothermal reactor with respect to the set point variations. The gain scheduling method is employed to construct an online PI controller. The PI controller is designed in such a way that it minimizes the sum of square error. Fixed gain PI controllers are also implemented on process plant. The results among former method and non-dynamic approaches when compared indicated that the proposed model offers a remarkable performance.

Details

Title: Application of Imperialist Competitive Algorithm in Online PI Controller
Authors/Creators: Mohammad Ahmadi Movahed - Dept. Mechatron. & Robot., Univ. Teknol. Malaysia, Skudai, Malaysia
Amir Mehdi Yazdani - Dept. Mechatron. & Robot., Univ. Teknol. Malaysia, Skudai, Malaysia
Amirmehdi Yazdani - Centre for Water, Energy and Waste
Publication Details: 2011 Second International Conference on Intelligent Systems, Modelling and Simulation, pp.83-87
Conference: 2011 Second International Conference on Intelligent Systems, Modelling and Simulation (Phnom Penh, Cambodia, 25/01/2011–27/01/2011)
Publisher: IEEE
Identifiers: 991005592641307891
Murdoch Affiliation: School of Engineering and Energy; Centre for Water, Energy and Waste
Language: English
Resource Type: Conference proceeding

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