Comparative Analysis for Optimized Modeling Methodology and Model
Validation of Lower Limb Rehabilitation Exoskeletons
Abstract
There exist different modeling techniques and advanced tools based on
these modeling techniques for modeling and simulation of complex
engineering systems. The tools provide flexible, user-friendly
environment to researchers and help them in design optimization and
performance analysis. The basic aim of this research is to identify
optimized modeling methodology and tools for the modeling and simulation
of biomechatronic system i.e., lower limb rehabilitation exoskeleton
(LLRE). For this purpose, firstly the LLRE is modeled using three
different modeling approaches. These include conventional/ mathematical
modeling, modeling through bond graph technique and modeling using
Simscape TM. Modeling through the first two approaches
is analytical and graphical respectively while Simscape deals with
physical signals while modeling and results in model that is much closer
to physical hardware. Secondly, a comparative analysis has been carried
out in which dynamic responses of models from different modeling methods
have been compared upon certain parameters. This comparison resulted in
dynamic responses verification and model validation. Along with that the
comparison of different approaches has been carried out and the
optimized approach for modeling of bio-mechatronics system such as LLRE
is identified. Modeling through Simscape has been identified as
optimized approach for modeling of LLRE. This contribution in the field
of biomechatronics system control will provide the researchers with an
insight about the modeling. This will further pave the way for better
model based robust control design. Future work includes comparison of
actual hardware dynamic responses with optimized modeling approach.