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Online Tuning Chattering Free Sliding Mode Fuzzy Control Design: Lyapunov Approach
Farzin Piltan, Ali Hosainpour, Ebrahim Mazlomian, Mohammad Shamsodini, Mohammad Hossein Yarmahmoudi
Pages - 77 - 105 | Revised - 15-05-2012 | Published - 20-06-2012
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KEYWORDS
Robot Manipulator, Sliding Mode Controller, Sliding Mode Fuzzy Controller, Adaptive Methodology, Fuzzy on-line Tune Sliding Mode Fuzzy Controller, Lyapunov- based
ABSTRACT
This paper expands a sliding mode fuzzy controller which sliding surface gain is on-line tuned by minimum fuzzy inference algorithm. The main goal is to guarantee acceptable trajectories tracking between the second order nonlinear system (robot manipulator) actual and the desired trajectory. The fuzzy controller in proposed sliding mode fuzzy controller is based on Mamdani’s fuzzy inference system (FIS) and it has one input and one output. The input represents the function between sliding function, error and the rate of error. The outputs represent torque, respectively. The fuzzy inference system methodology is on-line tune the sliding surface gain based on error-based fuzzy tuning methodology. Pure sliding mode fuzzy controller has difficulty in handling unstructured model uncertainties. To solve this problem applied fuzzy-based tuning method to sliding mode fuzzy controller for adjusting the sliding surface gain (ë ). Since the sliding surface gain (ë) is adjusted by fuzzy-based tuning method, it is nonlinear and continuous. Fuzzy-based tuning sliding mode fuzzy controller is stable model-free controller which eliminates the chattering phenomenon without to use the boundary layer saturation function. Lyapunov stability is proved in fuzzy-based tuning sliding mode fuzzy controller based on switching (sign) function. This controller has acceptable performance in presence of uncertainty (e.g., overshoot=0%, rise time=0.8 second, steady state error = 1e-9 and RMS error=1.8e-12).
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59 | Piltan, F., Mehrara, S., Bayat, R., & Rahmdel, S. (2012). Design New Control Methodology of Industrial Robot Manipulator: Sliding Mode Baseline Methodology. |
60 | Seven Tir Ave, S. Design New Control Methodology of Industrial Robot Manipulator: Sliding Mode Baseline Methodology. |
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Farzin Piltan, N. Sulaiman, Samaneh Roosta, Atefeh Gavahian, Samira Soltani, “Artificial Chattering Free on-line Fuzzy Sliding Mode Algorithm for Uncertain System: Applied in Robot Manipulator,” International Journal of Engineering, 5 (5):360-379, 2011. | |
Farzin Piltan, N. Sulaiman, Samaneh Roosta, Atefeh Gavahian, Samira Soltani, “Evolutionary Design of Backstepping Artificial Sliding Mode Based Position Algorithm: Applied to Robot Manipulator,” International Journal of Engineering, 5 (5):419-434, 2011. | |
Farzin Piltan, N. Sulaiman, Samaneh Roosta, M.H. Marhaban, R. Ramli, “Design a New Sliding Mode Adaptive Hybrid Fuzzy Controller,” Journal of Advanced Science & Engineering Research , 1 (1): 115-123, 2011. | |
Farzin Piltan, Nasri B Sulaiman, Iraj Asadi Talooki and Payman Ferdosali.,” Designing On- Line Tunable Gain Fuzzy Sliding Mode Controller Using Sliding Mode Fuzzy Algorithm: Applied to Internal Combustion Engine,” world applied science journal (WASJ), 15 (3): 422- 428, 2011 | |
Farzin Piltan, Nasri Sulaiman, M. H. Marhaban and R. Ramli, “Design On-Line Tunable Gain Artificial Nonlinear Controller,” Journal of Advances In Computer Research, 2 (4): 75-83, 2011. | |
Farzin Piltan, R. Bayat, F. Aghayari, B. Boroomand. “Design Error-Based Linear Model- Free Evaluation Performance Computed Torque Controller” International Journal of Robotics and Automation, 3(3): 2012. | |
Farzin Piltan, S. Emamzadeh, Z. Hivand, F. Shahriyari & Mina Mirazaei . ” PUMA-560 Robot Manipulator Position Sliding Mode Control Methods Using MATLAB/SIMULINK and Their Integration into Graduate/Undergraduate Nonlinear Control, Robotics and MATLAB Courses” International Journal of Robotics and Automation, 3(3): 2012. | |
Farzin Piltan, S. Rahmdel, S. Mehrara, R. Bayat.” Sliding Mode Methodology Vs. Computed Torque Methodology Using MATLAB/SIMULINK and Their Integration into Graduate Nonlinear Control Courses” International Journal of Engineering, 3(3): 2012. | |
Farzin Piltan, SH. Tayebi HAGHIGHI, N. Sulaiman, Iman Nazari, Sobhan Siamak, “Artificial Control of PUMA Robot Manipulator: A-Review of Fuzzy Inference Engine And Application to Classical Controller ,” International Journal of Robotics and Automation, 2 (5):401-425, 2011. | |
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Samira Soltani & Farzin Piltan, “Design Artificial Nonlinear Controller Based on Computed Torque like Controller with Tunable Gain”. World Applied Science Journal,14 (9): 1306- 1312, 2011. | |
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Dr. Farzin Piltan
SSP.CO - Iran
SSP.ROBOTIC@YAHOO.COM
Dr. Ali Hosainpour
- Iran
Dr. Ebrahim Mazlomian
- Iran
Dr. Mohammad Shamsodini
- Iran
Dr. Mohammad Hossein Yarmahmoudi
- Iran
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