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Information Journal Paper

Title

ROBUST FUZZY CONTROL DESIGN USING GENETIC ALGORITHM OPTIMIZATION APPROACH: CASE STUDY OF SPARK IGNITION ENGINE TORQUE CONTROL

Pages

  1-13

Abstract

 In the case of widely-uncertain non-linear system control design, it was very difficult to design a single controller to overcome control design specifications in all of its dynamical characteristics uncertainties. To resolve these problems, a new design method of ROBUST FUZZY CONTROL proposed. The solution offered was by creating multiple soft-switching with TAKAGI-SUGENO FUZZY MODEL for optimal solution control at all operating points that generate uncertainties. Optimal solution control at each operating point was calculated using GENETIC ALGORITHM. A case study of ENGINE TORQUE CONTROL of SPARK IGNITION ENGINE model was used to prove this new method of ROBUST FUZZY CONTROL design. From the simulation results, it can be concluded that the controller operates very well for a wide uncertainty.

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  • Cite

    APA: Copy

    TRIWIYATNO, ARIS, SUMARDI, SUMARDI, & APRIASKAR, ESA. (2017). ROBUST FUZZY CONTROL DESIGN USING GENETIC ALGORITHM OPTIMIZATION APPROACH: CASE STUDY OF SPARK IGNITION ENGINE TORQUE CONTROL. IRANIAN JOURNAL OF FUZZY SYSTEMS, 14(3 ), 1-13. SID. https://sid.ir/paper/113357/en

    Vancouver: Copy

    TRIWIYATNO ARIS, SUMARDI SUMARDI, APRIASKAR ESA. ROBUST FUZZY CONTROL DESIGN USING GENETIC ALGORITHM OPTIMIZATION APPROACH: CASE STUDY OF SPARK IGNITION ENGINE TORQUE CONTROL. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2017;14(3 ):1-13. Available from: https://sid.ir/paper/113357/en

    IEEE: Copy

    ARIS TRIWIYATNO, SUMARDI SUMARDI, and ESA APRIASKAR, “ROBUST FUZZY CONTROL DESIGN USING GENETIC ALGORITHM OPTIMIZATION APPROACH: CASE STUDY OF SPARK IGNITION ENGINE TORQUE CONTROL,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 14, no. 3 , pp. 1–13, 2017, [Online]. Available: https://sid.ir/paper/113357/en

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