Synthesis of a controller for stabilizing the motion of a rigid body about a fixed point
- Authors: Zabolotnov Y.M.1, Lobanov A.A.1
- 
							Affiliations: 
							- S.P. Korolev Samara National Research University
 
- Issue: Vol 52, No 3 (2017)
- Pages: 278-288
- Section: Article
- URL: https://journals.rcsi.science/0025-6544/article/view/162959
- DOI: https://doi.org/10.3103/S0025654417030050
- ID: 162959
Cite item
Abstract
A method for the approximate design of an optimal controller for stabilizing the motion of a rigid body about a fixed point is considered. It is assumed that rigid body motion is nearly the motion in the classical Lagrange case. The method is based on the common use of the Bellman dynamic programming principle and the averagingmethod. The latter is used to solve theHamilton–Jacobi–Bellman equation approximately, which permits synthesizing the controller. The proposed method for controller design can be used in many problems close to the problem of motion of the Lagrange top (the motion of a rigid body in the atmosphere, the motion of a rigid body fastened to a cable in deployment of the orbital cable system, etc.).
About the authors
Yu. M. Zabolotnov
S.P. Korolev Samara National Research University
							Author for correspondence.
							Email: yumz@yandex.ru
				                					                																			                												                	Russian Federation, 							Moskovskoe sh. 34, Samara, 443086						
A. A. Lobanov
S.P. Korolev Samara National Research University
														Email: yumz@yandex.ru
				                					                																			                												                	Russian Federation, 							Moskovskoe sh. 34, Samara, 443086						
Supplementary files
 
				
			 
					 
						 
						 
						 
						 
				 
  
  
  
  
  Email this article
			Email this article  Open Access
		                                Open Access Access granted
						Access granted Subscription Access
		                                		                                        Subscription Access
		                                					