Attitude Control of a Rigid Satellite Using Intelligent Change of Angular Momentum and Comparison with Classic Results Regarding to LQR

Research Area: Volume 3 Issue 1, Jan. 2014 Year: 2014
Type of Publication: Article Keywords: Linear Quadratic Regulator, Mushy State Simulated Annealing, Attitude Control, Satellite, optimization
Authors:
  • K. Shojaee G.
  • H. Rajabi Mashhadi
Journal: IJEIR Volume: 3
Number: 1 Pages: 35-40
Month: January
Abstract:
One of the maneuvers that a satellite should be able to do is the change of the satellite attitude or its body coordinates according to a reference one. This maneuver is possible by using the proper control torques and mechanism reaction wheels. This system is a multivariable and nonlinear system and the coupled equations governing the rotational motion of the satellite complicate the problem. In this paper, the optimal control policy and the potential advantages and disadvantages of both methods are compared using two different approaches. In this study, using Mushy State Simulated Annealing (MSSA) algorithm as an intelligent optimization method, a new concept is presented to face the Dynamic Programming approach which is a low speed and massive method from computational view. On the other hand, the problem is solved based on analytical methods discussed in optimized control issues and by integrating the Receding Horizon Control (RHC) and Linear Quadratic Regulator (LQR) concepts. Then the results are compared.

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