The twin rotor multi–input–multi–output system (TRMS) serves as a standard laboratory model for testing control systems designed for aircraft resembling helicopters. The TRMS exhibits two degrees of freedom (2-DOF) such as pitch and yaw angle which significantly influence each other. This system is more difficult to control because of the model uncertainties and external disturbances. To address these challenges in TRMS, an interval type-2 fuzzy logic PID (IT2-FLPID) controller is proposed for the control system. The proposed control methods were applied to the system under noisy conditions. For performance analysis, the proposed IT2-fuzzy logic controller (IT2-FLC) is compared with the T1-fuzzy logic controller (T1-FLC) in MATLAB/Simulink. Simultaneously triangular membership function (TriMF) is also compared with the trapezoidal membership function (TrapMF) for both the controller in the fuzzifier process for in-depth analysis. Simulation outcomes reveal that the proposed controller outperforms its type-1 counterparts in terms of stability and reliability.

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Design and Realization of Interval Type-2 Fuzzy Logic Controller for a TITO Aero-Dynamic System

  • F. Paul Nishanth,
  • Saroj Kumar Dash,
  • Soumya Ranjan Mahapatro

摘要

The twin rotor multi–input–multi–output system (TRMS) serves as a standard laboratory model for testing control systems designed for aircraft resembling helicopters. The TRMS exhibits two degrees of freedom (2-DOF) such as pitch and yaw angle which significantly influence each other. This system is more difficult to control because of the model uncertainties and external disturbances. To address these challenges in TRMS, an interval type-2 fuzzy logic PID (IT2-FLPID) controller is proposed for the control system. The proposed control methods were applied to the system under noisy conditions. For performance analysis, the proposed IT2-fuzzy logic controller (IT2-FLC) is compared with the T1-fuzzy logic controller (T1-FLC) in MATLAB/Simulink. Simultaneously triangular membership function (TriMF) is also compared with the trapezoidal membership function (TrapMF) for both the controller in the fuzzifier process for in-depth analysis. Simulation outcomes reveal that the proposed controller outperforms its type-1 counterparts in terms of stability and reliability.