Modeling And Control Of V-Groove Rotary Impact Driver
Rotary-impact screw driver which is categorized as hand-held cordless power tool raised the opportunities of use in many applications. However, there are some shortfalls in this type of tool such as unsynchronized impact mechanism, too much power for more precise jobs and it makes a lot of vibrat...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.usm.my/46807/1/Modeling%20And%20Control%20Of%20V-Groove%20Rotary%20Impact%20Driver.pdf http://eprints.usm.my/46807/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Rotary-impact screw driver which is categorized as hand-held cordless power tool
raised the opportunities of use in many applications. However, there are some shortfalls in
this type of tool such as unsynchronized impact mechanism, too much power for more precise
jobs and it makes a lot of vibration. The objective of this study is to model the physical system
of v-groove type of rotary impact driver and its application’s load. A state-flow control
algorithm is developed on the model to improve the mentioned shortfalls. The speed is
optimized by using state-flow algorithm with fixed-point data types, thus reduced hardware
computational requirement with acceptable accuracy. An exploratory study was also made to
evaluate the complexity of the virtual simulation between impact driver and drill driver model
to perform real-time hardware verification in virtual simulation. The purpose of doing the
latter is to verify the developed algorithm so that it does not have risk of overrun on defined
solver fixed time step. Finally, prototype was built based on the software simulation model
for actual human test and validation. From results, there were 10% improvement in system
synchronization, 33% reduction of impact speed on small delicate screwing, and 19%
reduction of vibration from motor’s reaction torque to user’s arms. Valuable understanding
was gained from experiments and optimization through simulation. |
---|