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Hybrid multi-objective control allocation strategy for compound high-speed rotorcraft.

Fengying Zheng1, Longwu Liu1, Zhiming Chen1

  • 1Nanjing University of Aeronautics and Astronautics, China.

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|September 9, 2019
PubMed
Summary

A new hybrid control allocation strategy using adaptive particle swarm optimization (PSO) addresses control surface redundancy in high-speed rotorcraft during mode conversion. This method enhances flight control system security and simplifies design.

Keywords:
Adaptive PSOCompound high-speed rotorcraftControl allocationHybrid multi-objectiveMulti-mode conversion

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Area of Science:

  • Aerospace Engineering
  • Control Systems
  • Optimization Algorithms

Background:

  • Compound high-speed rotorcraft face control surface redundancy challenges during multi-mode conversion.
  • Existing control allocation strategies may require extra controllers, increasing design complexity and reducing system security.

Purpose of the Study:

  • To propose a hybrid multi-objective control allocation strategy to solve control redundancy in rotorcraft.
  • To enhance the efficiency and security of flight control systems during mode conversion.

Main Methods:

  • Formulating control allocation as a hybrid multi-objective optimization problem.
  • Designing a hybrid multi-objective optimization performance function to meet flight mission requirements.
  • Utilizing a preference matrix to simplify optimization complexity and determine weight coefficients.
  • Developing an adaptive particle swarm optimization (PSO) algorithm for dynamic control allocation.

Main Results:

  • The proposed strategy effectively addresses control surface redundancy.
  • Simulations confirm the feasibility and effectiveness of the adaptive PSO-based control allocation.
  • The method eliminates the need for additional controllers during mode conversion.

Conclusions:

  • The hybrid multi-objective control allocation strategy significantly improves flight control system design.
  • It enhances system security and reduces design complexity for compound high-speed rotorcraft.
  • The adaptive PSO algorithm provides a dynamic and efficient solution for control allocation.