A nonlinear optimal control approach for multi-DOF redundant robotic manipulators

Abstract

A nonlinear optimal (H-infinity) control approach is proposed for the dynamic model of multi-DOF redundant robotic manipulators. Because of the complicated kinematics and dynamics and the high dimensionality of the state-space model of such robots, the related control problem is of elevated difficulty. In the present article, a three-link planar robotic manipulator it considered. The article’s approach relies first on approximate linearization of the state-space model of the redundant robotic manipulator, according to first-order Taylor series expansion and the computation of the related Jacobian matrices. For the approximately linearized model of the manipulator, a stabilizing H-infinity feedback controller is designed. To compute the controller’s gains an algebraic Riccati equation is solved at each time-step of the control algorithm. The global stability properties of the control scheme are proven through Lyapunov analysis. The proposed control method retains the advantages of typical optimal control, that is fast and accurate tracking of the reference setpoints under moderate variations of the control inputs.

Keywords:

• Redundant manipulators
• planar manipulators
• nonlinear optimal control
• H-infinity control
• algebraic Riccati equation
• Lyapunov stability analysis
• global asymptotic stability

Additional information

Funding

This article was funded by Unit of Industrial Automation / Industrial Systems Institute.