ANFIS Identification Model of an Advanced Process Control (APC) Pilot Plant

Baloch, M A and Ismail, Idris and Hanif, NHHM and Baloch , Taj Mohamad (2010) ANFIS Identification Model of an Advanced Process Control (APC) Pilot Plant. In: International Conference on Intelligent and Advanced Systems (ICIAS 2010), 15-17 June, 2010, Kuala Lumpur, Malaysia.

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Abstract

Fuzzy Inference System structured in form of adaptive networks is an intelligent technique being used for
modeling not only linear systems but also for ill-conditioned systems. Adaptive Network Based Fuzzy Inference System (ANFIS) uses a hybrid computational algorithm for modeling systems. This paper discusses the system identification model developed for an Advanced Process Control (APC) pilot plant (continuous binary distillation column) located in APC laboratory of Universiti Teknologi PETRONAS, Malaysia, using ANFIS technique. Estimation and validation of the models was performed using the experimental data collected from the pilot plant. The developed model has been validated using the best fit criteria against the measured data of the pilot plant. The result shows that the Multi Input Single Output (MISO)ANFIS model developed is capable of modeling the non-linear APC plant by means of the input-output pairs obtained from the plant experiment.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Departments > Electrical & Electronic Engineering
Depositing User: Ir Dr Idris Ismail
Date Deposited: 02 Aug 2011 04:04
Last Modified: 19 Jan 2017 08:23
URI: http://scholars.utp.edu.my/id/eprint/6280

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