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- Title
A HYBRID DIGITAL PROPORTIONAL INTEGRAL CLOSED LOOP CONTROL STRATEGY AND MIMO ADAPTIVE NEURAL NETWORK FUZZY INTERFERENCE SYSTEM MODEL FOR A CENTRIFUGAL CHILLER.
- Authors
TUDOROIU, ROXANA-ELENA; ZAHEERUDDIN, MOHAMMED; RADU, SORIN MIHAI; TUDOROIU, NICOLAE; BURDESCU, DUMITRU DAN
- Abstract
The basic idea of this paper lies in encouraging results disseminated in the recent paper presented in FedCSIS 2018 conference on a significant improvement in MIMO ARMAX models' accuracy, simplicity and rapid implementation in real time by developing one of the most accurate adaptive neuro-fuzzy inference system modelling, suitable for modelling the nonlinear dynamics of any process or control systems. The novelty of this paper is a further investigation of the use and the benefits of a hybrid closed-loop control strategy structure consisting of the improved MIMO ANFIS model in combination with a digital PI controller in terms of performance tracking accuracy, transient convergence speed and robustness. The effectiveness of this control strategy structure is demonstrated by extensive simulations conducted in this direction on a MATLAB real-time implementation platform and comparison results obtained by another control strategies.
- Subjects
FUZZY neural networks; FUZZY systems; PROCESS control systems
- Publication
International Journal of Computer Science & Applications, 2019, Vol 16, Issue 1, p86
- ISSN
0972-9038
- Publication type
Article