A Self-adaptive Synchronous Servo Compensation Mechanism for Redundant Force Suppression in Aerodynamic Loading System

The influences of redundant force exist in electro-hydraulic load simulators utilized for aircraft booster aerodynamic load simulations. To suppress the influences of this force, however, the conventional way of introducing extreme points in feed-forward systems makes the compensation frequency band narrow, while the other way of servo synchronous compensation control is largely affected by the actuator movement amplitude and frequency, which thus worsen the system adaptive abilities. In this paper, we propose a neuron PID based self-adaptive synchronous servo compensation mechanism for redundant force suppression in aerodynamic loading system. We establish a single-neuron PID based self-adaptive algorithm first, and then adopt the algorithm output as a parameter for the servo synchronous compensation, to compensate the vibrations caused by actuator movement amplitude and frequency. Simulation experiments are conducted to verify the effectiveness of the proposed mechanism. Results show that the proposed mechanism achieves better redundant force suppression at a wider band as compared with the conventional feed-forward compensation and the servo synchronous compensation methods, and could be applied for redundant force suppressions in various load simulators for its advantages in structural simplicity and self-adaptive capability.