ROBUST TRAJECTORY TRACKING FOR A SMALL-SCALE HYBRID AIRCRAFT
By hybrid aircraft, we mean a UAV that can vertically take-off, land and hover like a helicopter, and meanwhile can be converted to a fixed wing airplane to achieve high forward speed and long endurance than normal helicopters. This paper presents our recent work on control of a novel small scale hybrid aircraft. The proposed aircraft should follow a specific trend of trajectory to be able to convert from helicopter to airplane. For such a purpose, we design a robust trajectory tracking controller for helicopter mode of the aircraft. Finally, the simulation results are presented to demonstrate effectiveness of the proposed controller.
Modeling and Control of a Small-Scale Hybrid Aircraft
Abstract Hybrid aircrafts are unique type of aircrafts that combine the hover capability of helicopters with the speed and range of airplanes. In this work, we propose a novel hybrid aircraft based on the fixed-wing airplane and quadrotor structures. A complete mathematical model of the aircraft, in helicopter, transition and airplane flight modes is presented. Furthermore, a nonlinear controller for stabilizing the aircraft at hover is proposed. Finally, simulation results are presented in order to illustrate performances of the proposed controller.
An intelligent control system for ventilators.
This study reports on a ventilator system that consists of several intelligent modules for controlling ventilator operation. These modules are software programs in two controllers. One controller is a personal computer used for diagnoses, determining settings and checking the effects of settings. The other controller is a single-chip microprocessor in a ventilator that controls the ventilator's settings in accordance with the computer settings. After setting up the system, an artificial lung model simulating a patient's lung is used to test the system. The result of test run indicated that it always responds to a patient's lung condition in a stable manner. Thus, the proposed system with its intelligent modules may assist clinicians in caring for patients and managing ventilator operation.