Abstract
This paper presents the results of closed-loop simulation for the decentralized control of uncertain distillation column. The RGA (Relative Gain Array) RGA analysis was used as the basis for selecting the configuration of the decentralized control system. PI controller obtained was then tuned with optimization methods. The simulation results show that the RGA analysis requires accurate range for uncertain systems. In addition, closed-loop simulation results confirm the RGA analysis.
Highlights
Decentralized control is famous in chemical process control even though sophisticated methods for designing centralized multivariable control are available such as Internal Model Control (IMC), Dynamic Matrix Control (DMC), Linear Quadratic Control (LQC), etc
The uncertainty ranges for RGA elements calculated via optimization method described in the above Section are given below:
The results obtained via optimization method had wider range for each element of RGA compared to the results from the analytical method
Summary
Welcome to our very first International Conference on Informatics, Technology and Engineering (InCITE) 2017 held by Faculty of Engineering Universitas Surabaya (Ubaya), in collaboration with University of Wollongong (Australia), Solar Energy Research Center – Dalarna University (Sweden), Suranaree University of Technology (Thailand), and National Taiwan University of Science and Technology (Taiwan). This international conference will be enlivened by a series of keynote speeches and parallel sessions delivered by scholars, researchers, practitioners and academicians who are coming from 5 different countries and more. Performance test of a grid-tied PV system to power a split air conditioner system in Surabaya
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