Flight control for helicopter systems under output constraints and stochastic fault factors

This article proposes the issue of the helicopter altitude attitude systems with output constraints under stochastic fault factors. The fault factors are described by the switching systems with Markov jump parameters, which enable actuators to operate in different fault modes. Neural networks techniques are used to deal with uncertain inputs triggered by actuator faults. The random fault-tolerant controller is developed for helicopter systems based on the backstepping approach, allowing the control of continuous systems with discrete switching signals. Then, output state constraints are enforced using the barrier Lyapunov function and the tracking errors are proved remain within reasonable bounds via the Lyapunov stability method. Simulation results indicate that the control scheme can maintain the helicopter flight tracking performance under stochastic fault conditions.