Path Planning of Quadrotor Based on Quantum Particle Swarm Optimization Algorithm

Abstract:

Nowadays, it becomes a hot research topic for autonomous flight of Quadrotor in the complex environment and the realization of fully autonomous flight is still a big challenge. The path planning of unmanned aerial vehicle is a key problem for its autonomous flight. For the path planning of Quadrotor, using the quantum particle swarm optimization algorithm, and made a lot of simulation and actual flight experiments. The results of simulation and actual flight experiment show that the using of QPSO for the path planning of Quadrotor is able to obtain a satisfactory result.

• Periodical: Advanced Materials Research (Volumes 760-762)
• Pages: 2018-2022
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.760-762.2018
• Online since: September 2013
• Authors: De Xin Zhou, Xin Chao Ma, Teng Da Ma
• Keywords: Path Planning, QPSO, Quadrotor

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