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Multivariable autopilot design for sounding rockets using intelligent Eigenstructure Assignment technique

  • Intelligent and Information Systems
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Abstract

When a sounding rocket rolls about its longitudinal axis, the role of angle of attack and sideslip angle exchange regularly. This interchange causes the aerodynamic moments to alternate between pitching and yawing moments, which, coupled with the moment of inertia effects, further aggravates the inertial cross-coupling. In this paper, first we analyze the cross-coupling phenomena and derive a Linear, Time-Invariant (LTI), multi input — multi output model of a spinning sounding rocket and then we design an autopilot for this system. An application of multivariable control technique is presented to the design of the autopilot. The involved controller is advanced by combining Eigenstructure Assignment (EA) approach with the Particle Swarm Optimization (PSO) algorithm. Results of linear and nonlinear simulations are reported to demonstrate the performance and stability margin of the considered autopilot.

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Author information

Authors and Affiliations

  1. Young Researchers & Elite Club, Garmsar Branch, Islamic Azad University, Garmsar, Iran

    Saeed Mohammadloo

  2. Roshan Ofogh Asr Company, Tehran, Iran

    Mohammad Hosein Alizadeh

  3. Space Systems Design Institute of K. N. Toosi University of Technology, Tehran, Iran

    Mahdi Jafari

Authors
  1. Saeed Mohammadloo
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  2. Mohammad Hosein Alizadeh
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  3. Mahdi Jafari
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Corresponding author

Correspondence to Saeed Mohammadloo.

Additional information

Recommended by Associate Editor Young Jae Lee under the direction of Editor Myotaeg Lim.

Saeed Mohammadloo received his M.S. degree in Electrical Engineering with specializing in Control Engineering from Malek Ashtar University of Technology, Tehran, Iran in 2010 and his B.S (2006) and Associate (2004) degrees in Electrical Engineering from Enghelab Islami Technical College and University of Tabriz, respectively. He has joined with Young Researchers and Elite Club of Islamic Azad University since October, 2011. Mr. Mohammadloo has authored more than 10 articles which are presented and published in international conferences and journals. His research interests include Aerospace Systems, Data Fusion, Intelligent Control and Multivariable Control. Currently, he works on Vision-Aided Navigation algorithms.

Mohammad Hosein Alizadeh was born on August 29, 1978 at Khalkhal, Iran. He received his BSEE from Shahroud Technological University at Shahroud, Iran, and MSEE specializing in Control Engineering from Tarbiat Modarres University (TMU) at Tehran, Iran, in 2000 and 2002, respectively. Since 2009 he has been a consultant for Roshan Ofog Asr Company located at Tehran, Iran.

Mahdi Jafari received his Ph.D. in Aerospace Engineering from K. N. Toosi University of Technology, Tehran, Iran and his M.S and B.S degrees from this university in Control Engineering and Power Engineering, in 2013, 1996, and 1994, respectively. Currently, he works in Space Systems Design Institute in K. N. Toosi University of Technology. Power systems, control and stability are his main research interests.

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Mohammadloo, S., Alizadeh, M.H. & Jafari, M. Multivariable autopilot design for sounding rockets using intelligent Eigenstructure Assignment technique. Int. J. Control Autom. Syst. 12, 208–219 (2014). https://doi.org/10.1007/s12555-012-0229-4

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  • DOI: https://doi.org/10.1007/s12555-012-0229-4

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