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PID control with intelligent compens...

Yu, Wen.

PID control with intelligent compensation for exoskeleton robots /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	PID control with intelligent compensation for exoskeleton robots // Wen Yu.
作者:	Yu, Wen.
出版者:	London ;Academic Press, an imprint of Elsvier, : c2018.,
面頁冊數:	xv, 218 p. :ill. ; : 24 cm.;
標題:	PID controllers. -
ISBN:	9780128133804 (pbk.) :

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

PID control with intelligent compensation for exoskeleton robots /Wen Yu. - London ;Academic Press, an imprint of Elsvier,c2018. - xv, 218 p. :ill. ;24 cm.

Includes bibliographical references (p. 205-212) and index.

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: 9780128133804 (pbk.) :NT6109

Nat. Bib. No.: GBB7O1018bnbSubjects--Topical Terms:

574052
PID controllers.

LC Class. No.: TJ223.P55 / Y82 2018

Dewey Class. No.: 629.8

PID control with intelligent compensation for exoskeleton robots /
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504 $a Includes bibliographical references (p. 205-212) and index.
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 574052
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