KEYWORDS: Solar radiation, Education and training, Skin, Detection and tracking algorithms, Infrared radiation, Thermodynamics, Process control, Fuzzy logic, Deep learning, Solar radiation models
To investigate the altitude control issue of stratospheric airships, a dynamical model and a thermodynamic model of stratospheric airships were established. The Double Deep Q-Network (DDQN) algorithm, which introduces target networks and dual Q-value estimation to reduce the overestimation of Q-values and thereby enhances the performance of the DQN algorithm, was employed. The idea of artificial potential field method was introduced to improve the network convergence speed of DDQN algorithm. Taking the on/off state of the valve as the action input, the improved algorithm is applied to the altitude control of stratospheric airships and analyzed in comparison with the effect of fuzzy PID control. Simulation results show that the DDQN algorithm has significant advantages over the fuzzy PID algorithm in terms of response time, overshoot, and oscillation during the altitude adjustment process, with a steady-state error within 20 meters. Under the consideration of uncertainties, DDQN exhibits better robustness and convergence efficiency.
The stratospheric airship has the characteristics of large inertia, long time delay and large disturbance of wind field , so the trajectory control is very difficult .Build the lateral three degrees of freedom dynamic model which consider the wind interference , the dynamics equation is linearized by the small perturbation theory, propose a trajectory control method Combine with the sliding mode control and prediction, design the trajectory controller , takes the HAA airship as the reference to carry out simulation analysis. Results show that the improved sliding mode control with front-feedback method not only can solve well control problems of airship trajectory in wind field, but also can effectively improve the control accuracy of the traditional sliding mode control method, solved problems that using the traditional sliding mode control to control. It provides a useful reference for dynamic modeling and trajectory control of stratospheric airship.
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