An Effective System Identification Method of Small-Scale Unmanned Helicopter

Abstract:

In order to control an unmanned helicopter accurately and reliably, it is necessary to have a precise mathematical model of its dynamics. This paper presents a new timedomain identification method and process for full state space model of small-scale unmanned helicopters. The identification method is called ISAcwPEM (Improved Simulated Annealing combined with Prediction Error Method), which is not sensitive to initial point selection and doesn’t require frequency-sweeping inputs. Firstly, the primary parameters to be identified are selected by model sensitivity analysis. After that, the improved simulated annealing algorithm runs in a distributed computing platform to figure out a 13-order state space model of the SJTU T-REX700E small-scale unmanned helicopter (consisting of a cruise modal and a hover modal). Then the iterative Prediction Error Method (PEM) is used to optimize the model. In addition, the time-delay term and the trim term are estimated and added to the model. Finally, the effectiveness of the identification method is well validated by real outdoor flight experimental results.

• Periodical: Applied Mechanics and Materials (Volume 598)
• Pages: 442-452
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.598.442
• Online since: July 2014
• Authors: Yu Zhu Liu*, Fei Hu
• Keywords: Simulated Annealing (SA), Small-Scale Helicopter, State Space Model, System Identification

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