Iranian Journal of Mechanical Engineering Transactions of ISME

Iranian Journal of Mechanical Engineering Transactions of ISME

Control of pitch angle of a flexible launch vehicle with model predictive control approach using neural networks

Authors
Sajad Sadeghian Bafghi 1
Mohsen Fathi 2
Naser Rahbar 3
1 Msc. Department of Aerospace Engineering, Shafi University
2 Assistant professor, Department of Aerospace Engineering, Sharif University
3 Assistant professor, Department of Electrical Engineering, Malek Ashtar Industrial University
Abstract
In this paper, we investigate the problem of model predictive control of pitch angle of a flexible launch vehicle using neural networks. We simulate motion of launch vehicle on the pitch plane by considering effects of flexibility. Aeroelstic effects are also modeled by adding elastic terms of the structure to state space control equations which completes the vehicle model. To control the vehicle, we use a model predictive controller which is based on a neural network. Basic notions of this controlling approach are presented and we explain how a neural network can be used for this purpose. Experimental results on synthetic data in Simulink environment demonstrates our approach is useful and effective and neural networks can be used to control a vehicle in a nonlinear, adaptive control setting.

Subjects

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Iranian Journal of Mechanical Engineering Transactions of ISME
Volume 18, Issue 1 - Serial Number 42
System Dynamics and Solid Mechanics
Spring 2016
Pages 22-40

  • Receive Date 11 August 2014
  • Revise Date 31 January 2016
  • Accept Date 01 March 2016