Adaptive fuzzy control of nonlinear aeroelastic system with measurement noise

• Main Authors: Bo Zhang, Jinglong Han, Ruiqun Ma
• Format: Article
• Language: English
• Published: JVE International 2021-04-01
• Series: Journal of Vibroengineering
• Subjects: fuzzy control; nonlinear aeroelastic system; measurement noise; neural network identification
• Online Access: https://www.jvejournals.com/article/21738
• ISSN: 1392-8716; 2538-8460

This paper presents a limit cycle oscillation (LCO) suppression method of nonlinear aeroelastic system based on adaptive neuro-fuzzy control. A prototypical 2D wing section with a single control surface at the trailing edge of the main wing, which contains a symmetrical freeplay nonlinearity in the pitch degree of freedom, is modelled by SIMULINK (Matlab 2016R) to illustrate the proposed method. Proportional integral differential (PID) controller is used to suppression the LCO of nonlinear aeroelastic system. The control law of the PID controller is identified by neural network. A new fuzzy control law of the nonlinear aeroelastic system is obtained by adjusting the parameters of the fuzzy control system. A nonlinear aeroelastic system with measurement noise in the measurement feedback loop is conducted to verify the effectiveness of the proposed method.