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This study introduces a Moving Horizontal Tail (MHT) strategy to reduce helicopter flight control system (FCS) energy consumption. Optimization and analysis show significant energy savings compared to conventional helicopters.

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Area of Science:

  • Aerospace Engineering
  • Control Systems
  • Helicopter Dynamics

Background:

  • Helicopter flight control systems (FCS) are critical for stability and maneuverability.
  • Energy efficiency in helicopter operations is a key area for research and development.
  • Existing FCS designs often have limitations in energy consumption.

Purpose of the Study:

  • To investigate the energy-saving potential of a Moving Horizontal Tail (MHT) strategy for helicopter FCS.
  • To integrate MHT physics into complex, nonlinear helicopter models.
  • To optimize FCS parameters and MHT dimensions for enhanced energy efficiency.

Main Methods:

  • Development of physics-based, control-oriented nonlinear helicopter models.
  • Integration and linearization of MHT equations around straight, level flight conditions.
  • Application of Output Variance Constrained (OVC) control strategy.
  • Simultaneous optimization of FCS parameters and MHT dimensions using Simultaneous Perturbation Stochastic Approximation (SPSA).
  • Closed-loop analyses to evaluate control system performance.

Main Results:

  • Quantification of control energy savings achieved by the MHT strategy compared to conventional helicopters.
  • Identification of optimal FCS parameters and MHT dimensions through SPSA.
  • Demonstration of improved closed-loop system behaviors.

Conclusions:

  • The Moving Horizontal Tail (MHT) strategy offers a viable approach to reduce helicopter flight control system energy consumption.
  • Simultaneous optimization of FCS and MHT parameters is effective in maximizing energy savings.
  • The proposed method provides a pathway for more energy-efficient helicopter designs.