Event-based controller for noisy environments

In this work we focus on the development of a new event-based control strategy for noisy environments. The proposed architecture estimates the level of noise in the system and dynamically computes the event-threshold parameter. The solution presented has a similar response to that obtained when the classical event-based controller is used. However, the number of events and the noise in the control signals are much smaller than those on the classical strategy. The controller has been tested on an autopilot for longitudinal movements of the Aerosonde UAV. Set-point tracking, load disturbance rejection and high level noise in the sensors have been checked to compare the proposed controller and a classical event-based controller. As result the new strategy obtains a higher efficiency in communication resources usage than the classical one because it generates less number of events which is directly related to a reduction in the communication effort. It also represents a good solution that helps to reduce the chattering effects in the actuators.