Perancangan pengontrol Fuzzy untuk sistem nonlinear :: Studi kasus pada sistem TORA

SASONGKO, Priyo Sidik, Drs. Retantyo Wardoyo, MSc.,PhD

2006 | Tesis | S2 Ilmu Komputer

Dalam tulisan ini dibahas masalah Perancangan Pengontrol Fuzzy untuk Sistem Nonlinear Studi Kasus Pada Sistem TORA. Kontrol fuzzy untuk sistem nonlinear berdasarkan kerangka kerja dari model fuzzy Takagi-Sugeno dan pengontrol PDC(paralel distributed compensation). Metode rancangan kestabilan pengontrol fuzzy untuk sistem nonlinear menggunakan model fuzzy Takagi-Sugeno berdasarkan lyapunov diterapkan. Analisa stabilitas dan masalah rancangan kontrol direduksi menjadi masalah LMI (linear matrix inequality). Sehingga metode rancangan pengontrol fuzzy adalah untuk menyelesaikan sekumpulan kondisi LMI (linear matrix inequality). Pendekatan pengontrol PDC, robust dan optimal fuzzy diaplikasikan untuk masalah benchmark nonlinear dengan studi kasus sistem TORA. Pengontrol fuzzy yang dirancang menghasilkan sistem loop tertutup yang stabil asimtotik. Hasil simulasi diberikan untuk menunjukkan kegunaan dari metodologi kontrol fuzzy yang disajikan.

In this article is studied problem of Fuzzy Controller Design For Nonlinear Systems With Case Study Of TORA System. Fuzzy control for nonlinear systems is proposed on the framework from model of Takagi-Sugeno fuzzy model and PDC(paralel distributed compensation) controller. A lyapanouv-based stabilizing fuzzy control design for nonlinear systems using Takagi-Sugeno fuzzy models is applied. The stability analysis and control design problems are reduced to linear of matrix inequality (LMI) problems. So that method of fuzzy controller design are solve a set of LMI( linear of matrix inequality). Approach of PDC, robust and optimal controller are applied to a nonlinear control benchmark problem with case study of TORA system. The designed fuzzy controllers are yield a asymtotic stable closed-loop system. The fuzzy controller Simulation results are given to ilustrate the utility of the present fuzzy control methodology.

Kata Kunci : Sistem Nonlinear,Pengontrol Fuzzy,Sistem TORA, Takagi-Sugeno fuzzy model, PDC controller, robust controller, optimal controller, LMI, TORA system