Research on Fuzzy Control Methods for Suspension Density and Liquid Levels in Dense-Medium Separation

2009 ◽  
pp. 35-42
Author(s):  
Yang Xiang
Keyword(s):  
Fuzzy Control ◽  
Dense Medium ◽  
Control Methods ◽  
Suspension Density

Modelling and control of manipulators with flexible links working on land and underwater environments

Robotica ◽  
2010 ◽  
Vol 29 (3) ◽  
pp. 461-470 ◽  
Author(s):  
Levent Gümüşel ◽  
Nurhan Gürsel Özmen
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Robot Manipulator ◽  
Control Methods ◽  
Control Laws ◽  
Linear Ordinary Differential Equations ◽  
Intelligent Technique ◽  
Wide Range ◽  
Classical Control ◽  
And Control

SUMMARYIn this study, modelling and control of a two-link robot manipulator whose first link is rigid and the second one is flexible is considered for both land and underwater conditions. Governing equations of the systems are derived from Hamilton's Principle and differential eigenvalue problem. A computer program is developed to solve non-linear ordinary differential equations defining the system dynamics by using Runge–Kutta algorithm. The response of the system is evaluated and compared by applying classical control methods; proportional control and proportional + derivative (PD) control and an intelligent technique; integral augmented fuzzy control method. Modelling of drag torques applied to the manipulators moving horizontally under the water is presented. The study confirmed the success of the proposed integral augmented fuzzy control laws as well as classical control methods to drive flexible robots in a wide range of working envelope without overshoot compared to the classical controls.

Online prediction of dense medium suspension density based on phase space reconstruction

2017 ◽  
Vol 36 (8) ◽  
pp. 989-998 ◽  
Author(s):  
Xiaolu Sun ◽  
Zhenguan Cao ◽  
Yuanhe Yue ◽  
Yali Kuang ◽  
Chunxia Zhou
Keyword(s):  
Phase Space ◽  
Phase Space Reconstruction ◽  
Dense Medium ◽  
Suspension Density ◽  
Online Prediction

Simulator for studies of fuzzy control methods

1998 ◽  
Vol 93 (2) ◽  
pp. 137-144 ◽  
Author(s):  
Kenichiro Hayashi ◽  
Akifumi Otsubo
Keyword(s):  
Fuzzy Control ◽  
Control Methods

scholarly journals Evaluation of Three Common Algorithms for Structure Active Control

2017 ◽  
Vol 7 (3) ◽  
pp. 1638-1646
Author(s):  
M. Sareban
Keyword(s):  
Fuzzy Control ◽  
Active Control ◽  
Control Method ◽  
Variable Mass ◽  
Structural Response ◽  
Linear Quadratic Regulator ◽  
Relative Displacement ◽  
Control Methods ◽  
Linear Quadratic ◽  
The Impact

Recently active structure controllers were considered to deal with the impact of earthquake forces and the result of the investigations provided multiple algorithms to calculate force control and many different ways to apply these forces on the structure. In this study, the efficiency and effectiveness of three methods (linear quadratic regulator, fuzzy logic and pole assigning) are investigated. In addition, three buildings with different height classes with an active tuned mass damper (ATMD) on the top floor are considered to compare the active control methods. Examples with known mass and stiffness and with variable mass are considered. The results show that all three control methods used for the ATMD device reduce the structural response. The fuzzy control method, caused a sharp decline in relative displacement of building floors up to 80%. But in LQR and pole allocation procedures the applied force is limited. The best performance of fuzzy control is for high-rise buildings. The three different methods of control are stable in different masses and even under a random change of floor masses, their effectiveness can be trusted.

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