Modeling and Control of Geared Servomechanisms
T.K. Shing; Advisors, Prof. L.W. Tsai and Prof. P.S. Krishnaprasad
PROJECT BACKGROUND AND GOALS
A major problem associated with the use of gear trains for power transmission
is backlash. Backlash between meshing gear teeth can cause impact, reduce
system stability, generate noise and undesired vibrations. Uncertainty caused
by backlash can also decrease the repeatability and accuracy of geared
servomechanisms. Most recent studies on backlash have concentrated on models
of the instantaneous impact phenomena of a simple gear pair of such complexity
that the models are not suitable for the purpose of control. Another major
problem associated with geared servomechanisms is friction. Typical errors
caused by friction in geared servomechanisms are steady-state error and
tracking error. Even though friction models have been widely studied, most of
the work on the effects of friction in geared servomechanisms is primarily
concerned with friction in journal bearings which, at low speed, may have only
a minor role in comparison with the meshing friction between gear teeth.
Furthermore, the resulting models are not robust enough to accurately predict
the performance of a servomechanism in all situations. Thus, application
engineers have to adopt specialized friction model for each mechanism to obtain
satisfactory friction compensation for a desired task. Also, the control
methods implemented on geared servomechanisms usually are conventional
feedback laws, such as PD controllers, which do not consider the effects of
backlash. Therefore inaccuracy and tracking errors cannot be avoided in such
systems. Control engineers have pursued various strategies to overcome such
problems but still with some drawbacks. Therefore our goals are to establish a
simplified dynamic model for real time control and find a good control
strategy to achieve high precision.
METHODOLOGY
First, a new dynamic model which accounts for backlash effects is proposed
for the dynamics of spur gear systems. This dynamic model is mainly developed
for the purpose of real time control. The complicated variation of the meshing
stiffness as a function of contact point along the line of action is studied.
Then the mean value is used as the stiffness constant in the improved model.
To further include both backlash and friction effects, another new model is
proposed for the dynamics of a spur gear system. The model estimates average
friction torque and uses it to replace the instantaneous friction torque to
simplify the dynamical equations of motion. The average friction model will
reduce the original thirteen cases of operation into three cases. As for the
control strategy, a new open-loop optimization-based control strategy is
developed here. This new controller is expected to achieve high precision. But
with load disturbance from the environment, a state feedback compensation for
small corrective actions becomes necessary. Therefore, a systematic method to
find such a state feedback law is proposed as follows. First, a simplified
linear model is used for estimating feedback gains through H design due to the
complexity of the real system. Later, the obtained data is used as starting
points and surface plots around each such point are made to help obtain the
"best" feedback gains.
PROJECT RESULTS AND FUTURE WORK
Results and Future Work
From the simulation results, the proposed models are judged to be more
realistic for real time control of electromechanical systems to reduce gear
noise and to achieve high precision. The proposed control strategy also works
well in simulation. Therefore, our future work will primarily concentrate on
experimental verification. A design of a suitable experiment is under way.