NDLI: HiL simulation for testing joint stability after total knee arthroplasty

Content Provider	Springer Nature Link
Author	Herrmann, Sven Woernle, Christoph Kaehler, Michael Rachholz, Roman Souffrant, Robert Zierath, Jás Kluess, Daniel Bader, Rainer
Copyright Year	2012
Abstract	Instability of total knee replacements (TKRs) remains one of the most prevalent complications after total knee arthroplasty. Especially the actual event of instability involving complex interactions between implant components and soft tissue structures is not well understood. Therefore, the purpose of this work is to introduce a novel approach for testing TKRs with respect to stability of the artificial knee joint based on a mechatronic hardware-in-the-loop (HiL) test system. The mechanical test setup is composed of an industrial robot with a compliant support for the endoprosthesis to be tested. It interacts with a biomechanical multibody model consisting of all relevant body parts of the lower extremity incorporating ligament structures of the knee joint. According to the movement angles and reaction forces/torque provided by the multibody model, the robot rotates and loads the femoral component with respect to the tibial component. The resulting position and loading of the femoral component are measured and fed back into the model, thus closing the control loop for HiL simulations. The functional principle of the HiL simulation is proven by simulating a passive flexion movement of a bicondylar, posterior cruciate ligament retaining TKR using the described biomechanical multibody model.
Starting Page	55
Ending Page	67
Page Count	13
File Format	PDF
ISSN	13845640
Journal	Multibody System Dynamics
Volume Number	28
Issue Number	1-2
e-ISSN	1573272X
Language	English
Publisher	Springer Netherlands
Publisher Date	2012-01-11
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Hardware-in-the-loop simulation Total knee replacements Biomechanical multibody model Robotics Hybrid position/force control Vibration, Dynamical Systems, Control Optimization Mechanical Engineering Electrical Engineering Automotive Engineering
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Mechanical Engineering Aerospace Engineering Modeling and Simulation Computer Science Applications

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