Fuzzy Model Reference Learning Control For Non-Linear Spherical Tank Process
نویسندگان
چکیده
Fuzzy Model Reference Learning Control (FMRLC) is an efficient technique for the control of non linear process. In this paper, a FMRLC is applied in to a non linear spherical tank system. First, the mathematical model of the spherical tank level system is derived and simulation runs are carried out by considering the FMRLC in a closed loop. A similar test runs are also carried out with Neural Network based IMC PI and conventional ZN based PI-mode for comparison analysis. The results clearly indicate that the incorporation of FMRLC in the control loop in spherical tank system provides a good tracking performance than the NNIMC and conventional PI mode.
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