Optimal control of nonholonomic motion planning for a free-falling cat

2007 ◽  
Vol 28 (5) ◽  
pp. 601-607 ◽  
Author(s):  
Xin-sheng Ge ◽  
Li-qun Chen
2011 ◽  
Vol 47 (20) ◽  
pp. 1120 ◽  
Author(s):  
N. Sadati ◽  
K. Akbari Hamed ◽  
G.A. Dumont ◽  
W.A. Graver

2011 ◽  
Vol 383-390 ◽  
pp. 4257-4261
Author(s):  
Yun Ping Liu

The optimal nonholonomic motion planning for spacecraft multibody system is researched. The attitude motion equations of spacecraft multibody system take on nonholonomic constraint without outside force. The control of system can be converted to the nonholonomic motion planning problem for a driftless system. Based on modified-Newton method, the optimal control algorithm of controlling spacecraft to desired attitude is accepted by optimal control algorithm and Ritz approximation theory. Quaternion is used to describe the kinematics equation, which avoids the singularity and has the benefit of small calculation and high precision. At last, numerical simulations of spacecraft with two reaction fly wheels has proved of the approach to be effective.


Author(s):  
Li Chen ◽  
Xiaoteng Tang

In this paper, the optimal nonholonomic motion planning of free-floating space robot system with dual-arms is discussed. Base on the linear and angular momentum conservations of the system, the system state equations for control design are established, so the nonholonomic motion planning objective of attitude control of space robot system is translated as the solution of a canonical nonlinear control problem. An optimal control scheme of the system proposed is studied, using radial basis function approximation; a numerical algorithm for computing approximate optimal control of the system proposed is developed. The optimal motion planning approach proposed above possesses the advantages that it can obtain the desired angles of the base’s attitude and arms’ joints only by controlling the arms’ joints motion. A planar free-floating space robot system with dual-arms is simulated to verify the proposed approach.


Author(s):  
Xin-Sheng Ge ◽  
Li-Qun Chen

The motion planning problem of a nonholonomic multibody system is investigated. Nonholonomicity arises in many mechanical systems subject to nonintegrable velocity constraints or nonintegrable conservation laws. When the total angular momentum is zero, the control problem of system can be converted to the motion planning problem for a driftless control system. In this paper, we propose an optimal control approach for nonholonomic motion planning. The genetic algorithm is used to optimize the performance of motion planning to connect the initial and final configurations and to generate a feasible trajectory for a nonholonomic system. The feasible trajectory and its control inputs are searched through a genetic algorithm. The effectiveness of the genetic algorithm is demonstrated by numerical simulation.


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