کد مقاله g104
عنوان مقاله:
Neural network based robust hybrid control for robotic system an H∞ approach
سال ارائه: 2011 نوع مقاله: ژورنال گزارش فارسی: دارد
قضیه لیاپانف
Robotic system, Computed torque, control, Neural network, Variable structure control, H∞ control, Lyapunov stability, پروژه متلب , شبیه سازی با متلب ,
AbstractA novel robust hybrid tracking control
for robotic system is proposed. This hybrid control
scheme combines computed torque control (CTC)
with neural network, variable structure control (VSC)
and nonlinearH∞control methods. It is assumed that
the nominal system of robotic system is completely
known, which is controlled by using CTC method.
Neural network is designed to approximate parameter
uncertainties, VSC is used to eliminate the effect of
approximation error, andH∞control is employed to
achieve a desired robust tracking performance. Based
on Lyapunov stability theorem, it can be guaranteed
that all signals in closed loop are bounded and a speci
fiedH∞tracking performance is achieved by employ
ing the proposed robust hybrid control. The validity of
the control scheme is shown by computer simulation
of a two-link robotic manipulator.
KeywordsRobotic system·Computed torque
control·Neural network·Variable structure control·
H∞control·Lyapunov stability
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