Application of multifunctional sensing technique with ANFIS to physical parameters estimations of ternary solution with NaCl and sucrose

On-line measurement of physical parameters of solution means a great deal in the osmotic dehydration process of food. Ternary solution with NaCl and sucrose is widely employed in this process. This study aims at reconstructing concentrations of two components and estimating density, viscosity of this ternary solution with multifunctional sensing technique in which the multifunctional sensor was previously designed by the authors. In this work, ANFIS (Adaptive Network-Based Fuzzy Inference System) is adopted to be signal reconstruction algorithm for the multifunctional sensing technique. For obtaining number of fuzzy rules and more precise initial values of premise parameters, in the process of reconstructing and estimating, subtractive clustering and fuzzy c-means clustering are used to analyze input-output space of ANFIS. Experimental results with satisfactory accuracies proved the proposed multifunctional sensing technique with ANFIS algorithm is valuable in food industry.