Optimization Algorithm-Based Fault-Tolerant Resilient Control for Helicopter System: The Finite-Time Case

Abstract This paper centers on the finite-time control problem of the helicopter system in the midst of external disturbances, gain fluctuations, and actuator faults. Precisely, the finite-time boundedness and input–output finite-time stability are obtained concurrently to preclude huge undesirable values for both state and output, respectively, during specific transients. In particular, a particle swarm optimization setup is put forward for lowering the cost function and enhancing the overall reliability of the system. Furthermore, the fault-tolerant resilient control scheme is tailored to exhibit strong resistance to failures in the actuator and variations in the gain matrix. By blending the Lyapunov stability theory with the concept of finite time, we attain the essential requirements to ensure the stability of the closed-loop system over a finite span of time. Subsequently, the explicit methodology for obtaining the gain matrix is laid out pursuant to the established requirements. In particular, simulation results are presented to analyze the potential and significance of the devised control scheme.