Smart Rotor Control Law Research Based On Adaptive Filter

Active vibration control with smart rotor has been a hotspot in the field of helicopter engineering due to its good prospect. In this thesis, the control law based on adaptive filter for Smart Rotor with actively controlled trailing edge flap is researched.Because of the special structure of smart rotor, the problem, online secondary path modeling, should be solved when adaptive filter is used to actively control the helicopter vibration.Auxiliary random noise is one of the resolve methods. However, the random noise brings interference and has bad effect on the system stability. An improved anti-jamming algorithm based on adaptive notch filter is presented in this thesis. Simulation and test result shows that the proposed method is right and can enhance the stability.In order to simplify the system structure and enhance the reliability,the problem of reference signal estimation is also discussed. The possibility of gaining reference signal by the use of signal frequency estimation through the approach of adaptive notch filter is studied.The effect of reference signal power and convergence coefficient to the system is studied by simulation and test. To improve the stability, the auxiliary random noise power is changed and the simulation result proves its feasibility.