Parameter estimation of frequency response twin-screw food extrusion process using genetic algorithms

Authors:
Anant Oonsivilai;Ratchadaporn Oonsivilai
Affiliations:
Alternative and Sustainable Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Nakhon Ratchasima, Thailand;School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima, Thailand
Venue:
WSEAS TRANSACTIONS on SYSTEMS
Year:
2008

Citing 7
Cited 5

Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Frequency-sampling filters: an improved model structure for step-response identification

Automatica (Journal of IFAC)
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Nonlinear Hammerstein Model Identification Using Genetic Algorithm

ICAIS '02 Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS'02)
Probabilistic neural network classification for model β-Glucan suspensions

SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Frequency domain parameter estimation of a synchronous generator using bi-objective genetic algorithms

SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Brief Real-time estimation of process frequency response and step response from relay feedback experiments

Automatica (Journal of IFAC)

Applying a genetic algorithms programming to natural cheese products

ACS'08 Proceedings of the 8th conference on Applied computer scince
A genetic algorithms programming application in natural cheese products

WSEAS TRANSACTIONS on SYSTEMS
Gasifier system identification for biomass power plants using response surface method

EE'10 Proceedings of the 5th IASME/WSEAS international conference on Energy & environment
Differential evolution application in temperature profile of fermenting process

WSEAS TRANSACTIONS on SYSTEMS
Response surface method application in gasifier system identification for biomass power plants

WSEAS TRANSACTIONS on SYSTEMS

Quantified Score

Hi-index	0.00

Visualization

Abstract

Autonomic control of food extruders has attracted considerable in recent years. With limited understanding of the complex physio-chemical interactions during the food extrusion process, designing a control system for food extruder is not easy. The common approach is to determine the operating conditions and then to maintain these values as closely as possible using various control loops, if not manual control. This paper applies genetic algorithms to achieve the parameters of the twin-screw food extrusion process. The genetic algorithms are very suitable for searching discrete, noisy, multimodal and complex space. The sum of square error on magnitude and phase of the twin screw food extrusion process is minimize and receiving outstanding in shape the measured system extracted from the frequency response analysis of the food extrusion process. As recognized, exploitation of the optimization based on Genetic Algorithms gives advanced results.