Incubators are very essential equipment that finds wide application in the fields of medical Laboratory and microbiological research organization. This is because Incubator monitors and maintains conducive environment that is suitable for culturing, or growing of micro bacterial and enzymes, for the purpose of clinical diagnoses in Health centres, or process development in manufacturing industries. In this paper, a transfer function model for an incubator was developed upon which a designed Fuzzy logic controller acts to control the incubator Temperature, by computing appropriate Voltage. A PID (Proportional Integral Derivative) controller was also designed and tested on the same model. Findings were that the fuzzy logic controller tracked the optimum Temperatures for culturing of Mesophilic and thermophilic bacterial at 37 0C and 54.94 0C respectively. In comparison with the Fuzzy logic controller, the PID controller tracked at 37 0C and 55 0C for the two selected set points. In addition, the fuzzy logic controller gave faster rise time ( 3.30 mS, 3.45 mS and 13.72 mS) and settling time ( 1.60 mS, 2.04 mS and 5.55 mS ) as compared to PID controller which presented longer rise time (53.61 mS, 53.68 mS and 53.62) and settling time ( 254 mS, 336 mS and 345 mS) for the given set points respectively.
Temperature control is an important parameter in the fields of engineering and medical Laboratory. Culturing of micro bacteria and enzymes for the purpose of medical diagnoses or process development in manufacturing industries require their optimum temperature to be monitored and control. In this research work Fuzzy logic controller was designed to control the incubator Temperature, by computing appropriate firing angle. MATLAB Simulink toolbox was used for simulation. The results show that the fuzzy logic controller tracks the optimum Temperature for culturing Mesophilic and Thermophilic bacteria at 37.5oC and 55.2oC respectively. The transient response shows an overshot of 0.5% for the two responses. The rise time were 787ms and 792ms for 310.5 Kelvin and 328.2 Kelvin respectively. The settling time for the 310.5 Kelvin response was 1s; whereas it took 2s for the 328.2 Kelvin response to attain steady state.
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