scholarly journals Fuzzy PD Controller in NAO System's Platform

10.5772/63979 ◽  
2016 ◽  
Author(s):  
Edgar Omar López-Caudana ◽  
César Daniel González Gutiérrez
Keyword(s):  
Pd Controller ◽  
Fuzzy Pd

scholarly journals Intelligent control for nonlinear inverted pendulum based on interval type-2 fuzzy PD controller

2014 ◽  
Vol 53 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Ahmad M. El-Nagar ◽  
Mohammad El-Bardini ◽  
Nabila M. EL-Rabaie
Keyword(s):  
Intelligent Control ◽  
Inverted Pendulum ◽  
Pd Controller ◽  
Interval Type ◽  
Fuzzy Pd

A Self-Tuning Fuzzy PD Controller

1998 ◽  
Vol 44 (4-5) ◽  
pp. 177-189 ◽  
Author(s):  
Rajani K Mudi ◽  
Nikhil R Pal
Keyword(s):  
Pd Controller ◽  
Self Tuning ◽  
Fuzzy Pd

Position Control of Direct-Drive Robot Manipulators with PMAC Motors Using Enhanced Fuzzy PD Control

2004 ◽  
Vol 8 (3) ◽  
pp. 324-331
Author(s):  
Dong Sun ◽  
◽  
Y. X. Su ◽  
James K. Mills ◽  
Keyword(s):  
Position Control ◽  
Robot Manipulators ◽  
Pd Controller ◽  
Control Performance ◽  
Direct Drive ◽  
Control Approach ◽  
Single Link ◽  
Nonlinear Tracking ◽  
Control Methodology ◽  
Fuzzy Pd

A position control approach for direct-drive robot manipulators with permanent magnet AC (PMAC) motors is proposed. The conventional vector control architecture has been simplified by specifying the motor stator phase so that the rotating d-axis current is zero. The position control is designed to be an enhanced fuzzy PD controller, by incorporating two nonlinear tracking differentiators into a conventional fuzzy PD controller. The proposed control methodology is easy to implement, and exhibits better control performance than conventional control methods. Experiments conducted on a single-link manipulator directly driven by a PMAC motor demonstrate the validity of the proposed approach.

One Way of Tuning a Fuzzy PD Controller Implemented with PLC

2016 ◽  
Vol 14 (4) ◽  
pp. 27-32
Author(s):  
V. Uzunov
Keyword(s):  
Industrial Processes ◽  
Pd Controller ◽  
Large Delay ◽  
Nonlinear Object ◽  
Fuzzy Pd

Abstract Some industrial processes have nonlinearities and large delays. This causes instabilities and many difficulties for the system tuning. This paper presents tuning of a fuzzy PD controller for a nonlinear object with a large delay and an integrator in its structure. The simulation and respective results shows that the presented options assist for much better and easier system setup.

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