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PID control with intelligent compens...

Yu, Wen, (profesor titular,)

PID control with intelligent compensation for exoskeleton robots /

Record Type:	Electronic resources : Monograph/item
Title/Author:	PID control with intelligent compensation for exoskeleton robots /Wen Yu, CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico.
Author:	Yu, Wen,
Description:	1 online resource :illustrations
Subject:	PID controllers.
Online resource:	https://www.sciencedirect.com/science/book/9780128133804
ISBN:	9780128134641$q(electronic bk.)

PID control with intelligent compensation for exoskeleton robots /
Yu, Wen,profesor titular,

PID control with intelligent compensation for exoskeleton robots /Wen Yu, CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico. - 1 online resource :illustrations

Includes bibliographical references and index.

Stable PID control and systematic tuning of PID gains -- PID control in task space -- PD control with neural compensation -- PID control with neural compensation -- PD control with fuzzy compensation -- PD control with sliding mode compensation -- PID admittance control in task space -- PID admittance control in joint space -- Robot trajectory generation in joint space -- Design of upper limb exoskeletions.

Explains how to use neural PD and PID controls to reduce integration gain, and provides explicit conditions on how to select linear PID gains using proof of semi-global asymptotic stability and local asymptotic stability with a velocity observer. These conditions are applied in both task and joint spaces, with PID controllers compensated by neural networks. This is a great resource on how to combine traditional PD/PID control techniques with intelligent control. Dr. Wen Yu presents several leading-edge methods for designing neural and fuzzy compensators with high-gain velocity observers for PD control using Lyapunov stability. Proportional-integral-derivative (PID) control is widely used in biomedical and industrial robot manipulators. An integrator in a PID controller reduces the bandwidth of the closed-loop system, leads to less-effective transient performance and may even destroy stability. Many robotic manipulators use proportional-derivative (PD) control with gravity and friction compensations, but improved gravity and friction models are needed. The introduction of intelligent control in these systems has dramatically changed the face of biomedical and industrial control engineering.

ISBN: 9780128134641$q(electronic bk.)Subjects--Topical Terms:

305303
PID controllers.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TJ223.P55

Dewey Class. No.: 629.8

PID control with intelligent compensation for exoskeleton robots /
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100 1 $a Yu, Wen, $c profesor titular, $e author. $3 839655
245 1 0 $a PID control with intelligent compensation for exoskeleton robots / $c Wen Yu, CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico.
264 1 $a London ; $a San Diego : $b Academic Press, an imprint of Elsvier, $c [2018]
264 4 $c ©2018
300 $a 1 online resource : $b illustrations
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
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504 $a Includes bibliographical references and index.
505 0 $a Stable PID control and systematic tuning of PID gains -- PID control in task space -- PD control with neural compensation -- PID control with neural compensation -- PD control with fuzzy compensation -- PD control with sliding mode compensation -- PID admittance control in task space -- PID admittance control in joint space -- Robot trajectory generation in joint space -- Design of upper limb exoskeletions.
520 $a Explains how to use neural PD and PID controls to reduce integration gain, and provides explicit conditions on how to select linear PID gains using proof of semi-global asymptotic stability and local asymptotic stability with a velocity observer. These conditions are applied in both task and joint spaces, with PID controllers compensated by neural networks. This is a great resource on how to combine traditional PD/PID control techniques with intelligent control. Dr. Wen Yu presents several leading-edge methods for designing neural and fuzzy compensators with high-gain velocity observers for PD control using Lyapunov stability. Proportional-integral-derivative (PID) control is widely used in biomedical and industrial robot manipulators. An integrator in a PID controller reduces the bandwidth of the closed-loop system, leads to less-effective transient performance and may even destroy stability. Many robotic manipulators use proportional-derivative (PD) control with gravity and friction compensations, but improved gravity and friction models are needed. The introduction of intelligent control in these systems has dramatically changed the face of biomedical and industrial control engineering.
650 0 $a PID controllers. $3 305303
650 0 $a Intelligent control systems. $3 183135
650 0 $a Robotics. $3 181952
655 4 $a Electronic books. $2 local. $3 214472
856 4 0 $u https://www.sciencedirect.com/science/book/9780128133804