Simulation of active force control using intelligent methods to reduce vibration of the suspended handle
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Date
2018-05-23
Authors
Wong, Jen Nyap
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Abstract
This study focuses on the vibration attenuation of the suspended handle generated
from the power tools using different type of Active Force Control (AFC) tuning strategies.
The suspended handle is modelled as a single-degree-of-freedom (SDOF) system with the
parameters of mass, spring and damping taken from the previous research. The model of
internal disturbance is also taken from the previous research while two new models of
external disturbances are introduced during the simulation process to evaluate the
robustness of the system. Four types of control schemes are investigated and compared in
suppressing the vibration of the handle, which are Proportional-Integral-Derivative (PID)
controller, PID-AFC-Crude Approximation (CA), PID-AFC-Fuzzy Logic (FL) and PID AFC-Iterative Learning Method (ILM) control schemes. From the simulation, AFCCA
scheme generates the best performance when the estimated mass (EM) is 0.04 kg. While
for the AFCFL scheme, the best response is generated with the membership function of
trapezoidal shape with EM of 0.040295 kg. Furthermore, the AFCILM scheme shows the
best response with EM of 0.040000261 kg and both learning parameters A and B at value
of 0.6. By comparing the results among the systems, AFCILM scheme shows the best
overall performance for the zero input signal while AFCCA gives the best response for the
step input signal.