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In this paper, the hybrid fuzzy-PID controller for a coaxial rotor helicopter is developed as a supplement to the conventional PID controller. The coaxial rotor helicopter uses one motor and two swash plates linked to each other. The helicopter system is modeled by nonlinear dynamics. The PID control system works well with a moderate velocity change. However, it provides unsatisfactory performance...
Many guidance laws for UAVs focus on path following. And trajectory tracking problem is enough when it satisfies path and time constrains. One more constraint will be considered in this research, that is, approaching direction to a terminal position. Two methods will be introduced; they are based on Pythagorean-Hodograph curve, and the Lyapunov vector field, respectively. The first algorithm consists...
This paper concerns with the autonomous flight control system of an unmanned helicopter. We adopt a model-free discrete linear quadratic regulation (LQR) architecture based on reinforcement learning algorithm by rewriting the Q-learning approach. From input and output data, the linear quadratic optimal gain is directly found without system identification procedure. Least square method is adopted in...
This paper concerns with the autonomous flight control system of an unmanned helicopter, which is combined with reinforcement learning based neuro-controller. We assume that PID (proportional-integral-derivative) type, linear feedback controller is predesigned and it can stabilize the system with limited performance. The conservative control behavior is improved by the synthesis of the poor feedback...
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