Event-triggered nonlinear information fusion preview control of a two-degree-of-freedom helicopter system

This research presents a novel nonlinear information fusion preview control (NIFPC) method for the flight control problem of two-degree-of freedom (2-DOF) helicopter system. First, according to the information fusion optimal estimation methodology, the system performance index and the system dynamic equation are converted to several information equations about the control input, and then the control input is directly derived by fusing these information equations via the centralized information fusion optimal estimation. In the limited bandwidth, transmitting a large number of sampled data through the network will increase the computational and communication burden of the system. In order to overcome this difficulty, event triggering mechanism is introduced. The asymptotic convergence of system performance index is guaranteed by Lyapunov stability theory. Numerical simulation and experiment results have been provided to demonstrate the effectiveness of the proposed control scheme.