electronics-10-01535-v2.pdf (3.88 MB)
A control-oriented anfis model of evaporator in a 1-kwe organic rankine cycle prototype
journal contribution
posted on 2023-06-10, 00:16 authored by Hamid Enayatollahi, Paul Sapin, Chinedu K Unamba, Peter FusseyPeter Fussey, Christos N Markides, Bao Kha NguyenBao Kha NguyenThis paper presents a control-oriented neuro-fuzzy model of brazed-plate evaporators for use in organic Rankine cycle (ORC) engines for waste heat recovery from exhaust-gas streams of diesel engines, amongst other applications. Careful modelling of the evaporator is both crucial to assess the dynamic performance of the ORC system and challenging due to the high nonlinearity of its governing equations. The proposed adaptive neuro-fuzzy inference system (ANFIS) model consists of two separate neuro-fuzzy sub-models for predicting the evaporator output temperature and evaporating pressure. Experimental data are collected from a 1-kWe ORC prototype to train, and verify the accuracy of the ANFIS model, which benefits from the feed-forward output calculation and backpropagation capability of the neural network, while keeping the interpretability of fuzzy systems. The effect of training the models using gradient-descent least-square estimate (GD-LSE) and particle swarm optimisation (PSO) techniques is investigated, and the performance of both techniques are compared in terms of RMSEs and correlation coefficients. The simulation results indicate strong learning ability and high generalisation performance for both. Training the ANFIS models using the PSO algorithm improved the obtained test data RMSE values by 29% for the evaporator outlet temperature and by 18% for the evaporator outlet pressure. The accuracy and speed of the model illustrate its potential for real-time control purposes.
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Publication status
- Published
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- Published version
Journal
ElectronicsISSN
2079-9292Publisher
MDPIExternal DOI
Issue
13Volume
10Page range
1-18Article number
a1535Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2021-07-02First Open Access (FOA) Date
2021-07-02First Compliant Deposit (FCD) Date
2021-07-01Usage metrics
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