Abstract
AbstractIn this paper, the problem of the post‐stall pitching maneuver of aircraft with lower deflection frequency of control actuator is studied by considering the unsteady aerodynamic disturbances (UADs). A nonlinear disturbance observer is employed to estimate the UADs in order to suppress their adverse effects. And the nonzero equilibrium adaptive dynamic programming (NEADP) control method derived from the reinforcement learning is adopted to achieve the optimal control of aircraft. Simultaneously, a critic neural network is constructed to approximate the value function in the Hamilton‐Jacobi‐Bellman equation so as to realize adaptivity. Furthermore, the event‐triggering (ET) scheme with an improved triggering condition is applied in the control method in order to decrease the deflection frequency of control actuator. In addition, the Lyapunov stability analysis method is used to prove that all signals in the closed‐loop control system are uniformly ultimately bounded. And the proof by contradiction is applied to confirm that the Zeno behavior is excluded with the analysis of the minimum dwell time. Finally, simulation results verify the effectiveness of the improved ET‐based NEADP control method.
Published Version
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