۱۳۹۰ مهر ۱۶, شنبه

New Papers

Designing a stable model-based fuzzy controller for a novel 6-DOF parallel manipulator with rotary actuators
Azizan, H.;   Keshmiri, M.;   Jafarinasab, M.;   
Mechanical Engineering Department, Isfahan University of Technology, Iran 
This paper appears in: Advanced Intelligent Mechatronics (AIM), 2011 IEEE/ASME International Conference on 
Issue Date: 3-7 July 2011 
On page(s): 1034 - 1039 
Location: Budapest, Hungary 
ISSN: 2159-6247 
Print ISBN: 978-1-4577-0838-1 
Digital Object Identifier: 
10.1109/AIM.2011.6027125  
Date of Current Version: 26 September 2011 

ABSTRACT

This paper focuses on the designing of a stable model-based fuzzy controller for a six degrees of freedom (DOF) parallel manipulator with rotary actuators. This type of parallel manipulator has a challenging dynamics to control. Based on the nonlinear dynamical model of the system a Takagi-Sugeno fuzzy model of the system is presented through a combination of linear systems. The concept of Parallel Distributed Compensation (PDC) is used to design a fuzzy controller from the Takagi-Sugeno fuzzy model of the manipulator. Stability of the designed fuzzy control system is guaranteed via Lyapunov approach. The sufficient conditions for the existence of an appropriate controller are presented in terms of Linear Matrix Inequalities (LMIs). To show the efficiency of the proposed approach, numerical simulations are performed for a typical system.
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Sliding mode control of a novel 6-DOF parallel manipulator with rotary actuators
Jafarinasab, M.;   Keshmiri, M.;   Azizan, H.;   Danesh, M.;   
Mechanical Engineering Department of Isfahan University of Technology, Iran 
This paper appears in: Methods and Models in Automation and Robotics (MMAR), 2011 16th International Conference on 
Issue Date: 22-25 Aug. 2011 
On page(s): 218 - 223 
Location: Miedzyzdroje, Poland 
Print ISBN: 978-1-4577-0912-8 
Digital Object Identifier: 
10.1109/MMAR.2011.6031348  
Date of Current Version: 29 September 2011 

ABSTRACT

A novel six-DOF parallel manipulator is introduced. Kinematics analysis is discussed and using Lagrange equations for constrained systems the full dynamic modeling is performed. Sliding mode control as a class of very special nonlinear control is proposed to control the position of the manipulator in the presence of parametric uncertainties. Stability of the system is guaranteed via Lyapunov approach. An intensive series of simulation studies has been fulfilled to show the abilities of the proposed controller for trajectory tracking even in the case of large parameter variations.
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