Abstract
This article introduces the design of split range control and fuzzy logic control for temperature control of the MISO (multiple input single output) water tank scheme. A multiple input single output (MISO) system is considered for the proposed work as most of the practical systems comprise of numerous MISO system. Investigations are conducted on the impact of control parameters, system dynamics and process disturbances. From the simulation outcomes, it is clearly inferred that the fuzzy logic controller outperformed split range control over all parameters.
Highlights
Process engineers are confronted with the problem of selection of controller for different control loops
This resulted in the formation of 54 rules of fuzzy inference system discussed as follows: For all the values of change in error, and error ranging from L to VVL, Q1and Q2 are positive high (PH) and negative high (NH) respectively
This work highlighted the comparative study of fuzzy logic controller with conventional split range scheme for temperature control of a mixing process
Summary
Process engineers are confronted with the problem of selection of controller for different control loops. H. et al 2005; Dreinhoefer, L.H., 1988) due to its low cost design and simplicity It suffers from inherent problems of disturbance rejection, dead time associated with the process and instability. It was found that fuzzy logic controller gave an improved performance of compression system as stabilizing mass flow and speed in less time as compared to PID controller. Fonseca R. et al (2013) used fuzzy-PI controller along with split-range control strategy for temperature control of fermentation It was achieved by manipulating both heating and cooling water flow rates. It was found that fuzzy logic controller gave better performance in terms of ITAE (integral of time-weighted absolute error criterion) index as compared to PID controller. Taking into account the complication and significance of temperature control and the wide scope offered by conventional and fuzzy logic controller, the work undertaken here envisages to examine the performance of the temperature control using PID controller in split range control scheme, and fuzzy logic controller
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