Waves and sea winds have a negative impact on the stability of the given cruising altitude Hct because they are external noise sources that affect the control channel and the stability of the flight altitude of the autonomous flying device at sea. Most of the time, the autonomous flying device at sea must fly at a small altitude limited from 10 m to 3 m. To eliminate the influence of external noise sources caused by waves and sea winds, minimize instantaneous altitude measurement errors, and stabilize the flight altitude to ensure safety for autonomous flying device at sea with waves and winds below level 7. The article proposes a modern control technique that is to synthesize a PID controller integrated with a radial neural network RBF (PID_RBF) for the control channel - stability of the altitude of the autonomous flying device at sea when flying low above the sea surface. Using the simulation method to evaluate the quality of the controller for the altitude stability channel under the impact of waves and sea winds at wave levels 4–6 and compare it with the reference adaptive controller according to the gradient, PID controller.

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Synthesis of Modern Control Laws for Altitude Stability Control of Autonomous Flying Device at Sea Considering the Influence of Surface Wind

  • Hoang Van Long,
  • Nguyen Quang Vinh

摘要

Waves and sea winds have a negative impact on the stability of the given cruising altitude Hct because they are external noise sources that affect the control channel and the stability of the flight altitude of the autonomous flying device at sea. Most of the time, the autonomous flying device at sea must fly at a small altitude limited from 10 m to 3 m. To eliminate the influence of external noise sources caused by waves and sea winds, minimize instantaneous altitude measurement errors, and stabilize the flight altitude to ensure safety for autonomous flying device at sea with waves and winds below level 7. The article proposes a modern control technique that is to synthesize a PID controller integrated with a radial neural network RBF (PID_RBF) for the control channel - stability of the altitude of the autonomous flying device at sea when flying low above the sea surface. Using the simulation method to evaluate the quality of the controller for the altitude stability channel under the impact of waves and sea winds at wave levels 4–6 and compare it with the reference adaptive controller according to the gradient, PID controller.