Regular Papers

International Journal of Control, Automation and Systems 2016; 14(6): 1404-1412

Published online October 25, 2016

https://doi.org/10.1007/s12555-015-0158-0

© The International Journal of Control, Automation, and Systems

Closed Loop Trajectory Optimization Based on Reverse Time Tree

Chyon Hae Kim* and Shigeki Sugano

Iwate University

Abstract

This paper addresses the general methods for creating the approximately optimal closed loop stabilization controllers that depend on given rigid body systems. The optimal stabilization controllers calculate the optimal force (torque) inputs that depend on the current states of the systems. In this paper, a creation method for approximately optimal controllers named closed loop optimizer based on reverse time tree (CLO-RTT) is proposed. In the open loop optimization phase, this method creates approximately optimal open loop solutions using rapid semi-optimal motion planning (RASMO). In the closed loop optimization phase, this method selects a solution from the RTT according to the measured current state of a system. The proposed method was validated in the time optimal stabilization problem of a double inverted pendulum model. The proposed method successfully stabilized the model quickly. When the resolution of RASMO was higher, the motion time was shorter."

Keywords Dynamics, inverted pendulum, online optimization, reverse-time tree, trajectory planning.

Article

Regular Papers

International Journal of Control, Automation and Systems 2016; 14(6): 1404-1412

Published online December 1, 2016 https://doi.org/10.1007/s12555-015-0158-0

Copyright © The International Journal of Control, Automation, and Systems.

Closed Loop Trajectory Optimization Based on Reverse Time Tree

Chyon Hae Kim* and Shigeki Sugano

Iwate University

Abstract

This paper addresses the general methods for creating the approximately optimal closed loop stabilization controllers that depend on given rigid body systems. The optimal stabilization controllers calculate the optimal force (torque) inputs that depend on the current states of the systems. In this paper, a creation method for approximately optimal controllers named closed loop optimizer based on reverse time tree (CLO-RTT) is proposed. In the open loop optimization phase, this method creates approximately optimal open loop solutions using rapid semi-optimal motion planning (RASMO). In the closed loop optimization phase, this method selects a solution from the RTT according to the measured current state of a system. The proposed method was validated in the time optimal stabilization problem of a double inverted pendulum model. The proposed method successfully stabilized the model quickly. When the resolution of RASMO was higher, the motion time was shorter."

Keywords: Dynamics, inverted pendulum, online optimization, reverse-time tree, trajectory planning.

IJCAS
January 2025

Vol. 23, No. 1, pp. 1~88

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