scholarly journals Adaptive Gain PID Control for Mechanical Systems

10.5772/22602 ◽  
2011 ◽  
Author(s):  
Ricardo Guerra ◽  
Salvador Gonzalez ◽  
Roberto Reyes
Keyword(s):  
Pid Control ◽  
Mechanical Systems

Velocity and Acceleration Estimation by a Nonlinear Filter Based on Sliding Mode and Application to Control System

2009 ◽  
Vol 21 (5) ◽  
pp. 590-596 ◽  
Author(s):  
Takanori Emaru ◽  
◽  
Kazuo Imagawa ◽  
Yohei Hoshino ◽  
Yukinori Kobayashi
Keyword(s):  
Control System ◽  
Pid Control ◽  
Sliding Mode ◽  
Mechanical Systems ◽  
Nonlinear Filter ◽  
Proportional Integral Derivative ◽  
Modeling Error ◽  
Proportional Integral ◽  
Performance Accuracy ◽  
Modeling Errors

Proportional-integral-derivative (PID) control commonly used to operate mechanical systems has limited performance accuracy due to the influence of gravity, friction, and joint interaction caused by modeling error. Digital acceleration control is robust against modeling errors and superior to PID control, but the need for positioning, velocity, and acceleration knowledge constrains the development of digital acceleration control. To overcome this limitation, this report introduces the system which estimates the smoothed and differential values using sliding mode system (ESDS). Using ESDS enables digital acceleration control without increasing the number of sensors over that used in PID control. This paper focuses on the influence of gravity because digital acceleration control can, in principle, cancel its influence. This controls mechanical systems appropriately under attitude variations. Results of proposed control are demonstrated using 1- and 2-link manipulators.

Energy Shaping of Mechanical Systems via PID Control and Extension to Constant Speed Tracking

2016 ◽  
Vol 61 (11) ◽  
pp. 3551-3556 ◽  
Author(s):  
Jose Guadalupe Romero ◽  
Romeo Ortega ◽  
Alejandro Donaire
Keyword(s):  
Pid Control ◽  
Mechanical Systems ◽  
Constant Speed ◽  
Energy Shaping ◽  
Speed Tracking

Automation of Process Control in Chemical Plant

2015 ◽  
Vol 2 (1) ◽  
pp. 6-12
Author(s):  
Agus Sugiarta ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Process Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Chemical Engineering ◽  
Chemical Plant ◽  
Raw Material ◽  
Flow Rates ◽  
Material Supply ◽  
Wide Range ◽  
Inherent Problem

Automation of process control in chemical plant is an inspiring application field of mechatronicengineering. In order to understand the complexity of the automation and its application requireknowledges of chemical engineering, mechatronic and other numerous interconnected studies.The background of this paper is an inherent problem of overheating due to lack of level controlsystem. The objective of this research is to control the dynamic process of desired level more tightlywhich is able to stabilize raw material supply into the chemical plant system.The chemical plant is operated within a wide range of feed compositions and flow rates whichmake the process control become difficult. This research uses modelling for efficiency reason andanalyzes the model by PID control algorithm along with its simulations by using Matlab.

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