he present study aims to investigate the shimmy stability behavior of a single wheeled nose landing gear system. The system is supposed to be equipped with an electromechanical actuator capable to control the shimmy vibrations. A Proportional-Integrative-Derivative (PID) controller, tuned by using the Particle Swarm Optimization (PSO) procedure, is here proposed to actively damp the shimmy vibration. Time-history results for some test cases are reported and commented. Stochastic analysis is last presented to assess the robustness of the control system.
Alaimo, A., Milazzo, A., Orlando, C. (2016). Nonlinear model based particle swarm optimization of PID shimmy damping control. ADVANCES IN AIRCRAFT AND SPACECRAFT SCIENCE, 3, 211-224 [10.12989/aas.2016.3.2.211].
Nonlinear model based particle swarm optimization of PID shimmy damping control
MILAZZO, Alberto;
2016-01-01
Abstract
he present study aims to investigate the shimmy stability behavior of a single wheeled nose landing gear system. The system is supposed to be equipped with an electromechanical actuator capable to control the shimmy vibrations. A Proportional-Integrative-Derivative (PID) controller, tuned by using the Particle Swarm Optimization (PSO) procedure, is here proposed to actively damp the shimmy vibration. Time-history results for some test cases are reported and commented. Stochastic analysis is last presented to assess the robustness of the control system.
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