Modelling the performance of single-input–single-output (SISO) processes using transfer function and fuzzy logic

A previously developed method for evaluating the performance of zero order single input single output (SISO) processes using transfer function modeling assumed constant lags and zero or negligible noise. This work models the performance of SISO systems with variable lags and noise using transfer function modeling and fuzzy logic inference systems. Two single input single output processes exemplified by palm kernel crushing plants were used for the modeling. Plants 1 and 2 with the same system’s coefficient of performance (SCOP) of 0.4, which corresponds linguistic variable ‘Fair’, had the same performance. In comparison with queuing theory SCOP performed better as a performance assessment metric for the SISO processes. The results showed that fuzzy logic inference system could be effectively used to model zero order SISO systems with variable lags and noise. The results of the research could be extended to higher order SISO systems.