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On-line Self Tuning of Contouring Control for High Accuracy Robot Manipulators under Various Operations
by
Li, Kelin
, Boonto, Sudchai
, Nuchkrua, Thanana
in
Accuracy
/ Adaptive control
/ Contouring
/ Control algorithms
/ Controllers
/ Equilibrium
/ Errors
/ Extended Kalman filter
/ Fuzzy control
/ Kalman filters
/ Manipulators
/ Robot arms
/ Robot control
/ Robots
/ Robust control
/ Self tuning
/ Stabilization
2020
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On-line Self Tuning of Contouring Control for High Accuracy Robot Manipulators under Various Operations
by
Li, Kelin
, Boonto, Sudchai
, Nuchkrua, Thanana
in
Accuracy
/ Adaptive control
/ Contouring
/ Control algorithms
/ Controllers
/ Equilibrium
/ Errors
/ Extended Kalman filter
/ Fuzzy control
/ Kalman filters
/ Manipulators
/ Robot arms
/ Robot control
/ Robots
/ Robust control
/ Self tuning
/ Stabilization
2020
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
On-line Self Tuning of Contouring Control for High Accuracy Robot Manipulators under Various Operations
by
Li, Kelin
, Boonto, Sudchai
, Nuchkrua, Thanana
in
Accuracy
/ Adaptive control
/ Contouring
/ Control algorithms
/ Controllers
/ Equilibrium
/ Errors
/ Extended Kalman filter
/ Fuzzy control
/ Kalman filters
/ Manipulators
/ Robot arms
/ Robot control
/ Robots
/ Robust control
/ Self tuning
/ Stabilization
2020
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On-line Self Tuning of Contouring Control for High Accuracy Robot Manipulators under Various Operations
Journal Article
On-line Self Tuning of Contouring Control for High Accuracy Robot Manipulators under Various Operations
2020
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Overview
We present the method of online self-tuning PD controller for the problem of contouring control of robot manipulators. Previously, the dynamics of the robot is transformed into dynamic errors problem by considering the equivalent errors method. It becomes the control problem of stabilization such that it is suitable for advanced control to improve control performance regarding contouring control, i.e., contour accuracy with high speed. Conventional PD tuned by the fuzzy controller with robust extended Kalman filter where it was acting as the robust adaptive controller is utilized to stabilize that control problem. It could determine the stationary point of different processes without knowing prior. In practice, the proposed controller is easily dealt with the problem of stabilization. The experiment results reveal that the proposed technique yields excellent performance under a large disturbance.
Publisher
Springer Nature B.V
Subject
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