WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 20, 2025
Optimisation-based Design of Interval Type-2 Fuzzy Logic Controllers for High Performance Temperature Control
Authors: ,
Abstract: The paper focuses on the development of an approach for performance improvement of control systems by designing interval type-2 (IT2) PID fuzzy logic controllers (FLC) with single and two inputs. The approach is demonstrated for the control of the temperature in a laboratory fruit dryer and conforms to the requirements for real-time control via industrial programmable logic controllers. It steps on the integration of IT2 FLC empirical design with optimisation using genetic algorithms. The suggested performance-bound fitness function is computed from simulations of the FLC closed-loop systems using a Takagi-Sugeno-Kang plant model derived from experimental step responses. The optimised FLC parameters are the pre-and post-processing gains and selected output singletons and parameters of the upper membership functions that shape the footprint of the uncertainty of the IT2 PID FLC. The designed IT2 PID FLC control systems outperform in simulations the corresponding type-1 PID FLC systems in an increased dynamic accuracy and smoothness of the control action.
Search Articles
Keywords: genetic algorithms optimisation, laboratory fruit dryer, temperature control, type-2 PID fuzzy logic controller, simulations
Pages: 124-134
DOI: 10.37394/23203.2025.20.15