DocumentCode
1677885
Title
Robust control allocation of redundantly actuated variable structure systems
Author
An, Sang-ik ; Kwon, Dong-Soo
Author_Institution
Dept. of Mech. Eng., KAIST, Daejeon, South Korea
fYear
2010
Firstpage
491
Lastpage
496
Abstract
This paper proposes new robust control allocation method of redundantly actuated variable structure systems. The original system is divided into two subsystems by factorizing the input matrix. Then all system uncertainties can be treated with the virtual control input. The control strategy has two steps. At the first step the virtual control input is found with sliding mode control with perturbation estimation method (SMCPE) considering system uncertainties then at the second step the real control input is calculated by using the Quadratic Optimization method. The simulation is conducted with the redundantly actuated leg-wheel hybrid structures which have 4 actuators and 3DOFs. The state-space model is derived from the dynamic equation with kinematic and dynamic constraints. The effect of kinematic error is also studied.
Keywords
legged locomotion; matrix decomposition; perturbation techniques; quadratic programming; robot dynamics; robot kinematics; robust control; state-space methods; variable structure systems; dynamic constraint; dynamic equation; kinematic constraint; leg-wheel hybrid structure; matrix factorization; perturbation estimation method; quadratic optimization; redundantly actuated variable structure system; robust control allocation; sliding mode control; state-space model; system uncertainty; virtual control input; Equations; Joints; Kinematics; Mathematical model; Redundancy; Resource management; Uncertainty; Actuator Redundancy; Control Allocation; Leg-Wheel Hybrid Structure; Variable Structure System;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location
Gyeonggi-do
Print_ISBN
978-1-4244-7453-0
Electronic_ISBN
978-89-93215-02-1
Type
conf
Filename
5669968
Link To Document