Abstract—this paper discusses extended approaches of Adaptive Network Based Fuzzy Inference System (ANFIS) using Self Tuning Regulator (STR) via Fuzzy logic to be implemented in cascade control. Plant used is Pressure RIG 38-714 which supports cascade configuration. The controlled variable in the outer loop is pressure, in the inner loop’s flow. The proposed method’s used to improve the performance of ANFIS which has been commonly implemented to accomplish control task. Comparison has been conducted between ANFIS using STR and without STR, from experiment could be concluded that controller ANFIS using STR acquired better performance than only used ANFIS. It’s derived from the transient response of those. For ANFIS using STR is obtained rise time and settling time are 9 ms and 12 ms respectively. In the other hand, ANFIS without STR resulted 21 ms and 29 ms for rise time and settling time respectively.

Index Terms—ANFIS, Cascade Control, Self Tuning Regulator.

Mahardhika Pratama is with School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore (Corresponding author to provide, e-mail: MAHARDHI1@e.ntu.edu.sg).
Samsul Rajab., is with Electrical Engineering Department, Sepuluh Nopember Institute of Technology, Indonesia (e-mail: samsulrajab@gmail. com).
Er Meng Joo is with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore (e-mail: EMJER@ntu.edu. sg).

Cite: Mahardhika Pratama, Samsul Rajab, and Er. Meng Joo, "Extended Approach of ANFIS in Cascade Control," International Journal of Computer and Electrical Engineering vol. 3, no. 4, pp. 572-576, 2011.