Modelling of an interacting series process for rector cooling system using system identification method

• Main Authors: Mohammad Abdul Aziz, Nur Aina, Che Soh, Azura, Abdul Rahman, Ribhan Zafira, Abdul Karim, Julia
• Format: Article
• Published: Scientific Research Archives 2022
• Online Access: http://psasir.upm.edu.my/id/eprint/102207/; https://sciresjournals.com/ijstra/ArchiveIssue-2022-Vol3-Issue2

This research presents the modelling of cooling system plant in the TRIGA PUSPATI reactor (RTP). The RTP cooling system involves the interacting series process which are reactor model and heat exchanger model. The behaviour process is complex due to the nonlinearity, uncertainty, and time variation of the system. Due to the nonlinearity and interacting series process of system, the numerical algorithm for subspace state space system identification (N4SID) was proposed in the modelling of RTP cooling system. However, the model was converted to the transfer function form. The output response from the simulation model of RTP cooling subsystems were analysed by comparing the model with the real operational data. The responses of the model were within the respective range of a good model data. The residual analysis for each output was also calculated. The comparison and residual analysis were done to validate the model accuracy to determine the behaviour of the model. Overall, the model accuracy assessment shows that all models are still fit in the good model region (<10%) and has a good representation of a real plant.