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Design Artificial Nonlinear Robust Controller Based on CTLC and FSMC with Tunable Gain
Farzin Piltan , N. Sulaiman, Zahra Tajpaykar, Payman Ferdosali, Mehdi Rashidi
Pages - 195 - 210     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 2   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
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KEYWORDS
Robot Manipulator, Nonlinear Robust Controller, Tunable Gain, Computed Torque Like Controller, Fuzzy Sliding Mode Controller
ABSTRACT
One of the most active research areas in the field of robotics is robot manipulators control, because these systems are multi-input multi-output (MIMO), nonlinear, time variant and uncertainty. An artificial non linear robust controller design is major subject in this work. At present, robot manipulators are used in unknown and unstructured situation and caused to provide complicated systems, consequently nonlinear classical controllers are used in artificial intelligence control methodologies to design nonlinear robust controller with satisfactory performance (e.g., minimum error, good trajectory, disturbance rejection). Sliding mode controller (SMC) and computed torque controller (CTC) are the best nonlinear robust controllers which can be used in uncertainty nonlinear. Sliding mode controller has two most important challenges in uncertain systems: chattering phenomenon and nonlinear dynamic equivalent part. Computed torque controller works very well when all nonlinear dynamic parameters are known. This research is focused on the applied non-classical method (e.g., Fuzzy Logic) in robust classical method (e.g., Sliding Mode Controller and computed torque controller) in the presence of uncertainties and external disturbance to reduce the limitations. Applying the Mamdani’s error based fuzzy logic controller with minimum rules is the first goal that causes the elimination of the mathematical nonlinear dynamic in SMC and CTC. Second target focuses on the elimination of chattering phenomenon with regard to the variety of uncertainty and external disturbance in fuzzy sliding mode controller and computed torque like controller by optimization the tunable gain. Therefore fuzzy sliding mode controller with tunable gain (GTFSMC) and computed torque like controller with tunable gain (GTCTLC) will be presented in this paper.
CITED BY (91)  
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20 Bazregar, M., Piltan, F., Akbari, M., & Piran, M. (2013). Management of Automotive Engine Based on Stable Fuzzy Technique with Parallel Sliding Mode Optimization. International Journal of Information Technology and Computer Science (IJITCS), 6(1), 101.
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23 Piltan, F., Zare, S., ShahryarZadeh, F., & Mansoorzadeh, M. (2013). Supervised Optimization of Fuel Ratio in IC Engine Based on Design Baseline Computed Fuel Methodology. International Journal of Information Technology and Computer Science (IJITCS), 5(4), 76.
24 Piltan, F., Jafari, M., Eram, M., Mahmoudi, O., & Sadrnia, O. R. (2013). Design Artificial Intelligence-Based Switching PD plus Gravity for Highly Nonlinear Second Order System. International Journal of Engineering and Manufacturing (IJEM), 3(1), 38.
25 Jalali, A., Piltan, F., Hashemzadeh, M., BibakVaravi, F., & Hashemzadeh, H. (2013). Design Parallel Linear PD Compensation by Fuzzy Sliding Compensator for Continuum Robot. International Journal of Information Technology and Computer Science (IJITCS), 5(12), 97.
26 Ebrahimi, M. M., Piltan, F., Bazregar, M., & Nabaee, A. (2013). Artificial Chattering Free on-line Modified Sliding Mode Algorithm: Applied in Continuum Robot Manipulator. International Journal of Information Engineering and Electronic Business, 5(5), 57.
27 Moosavi, M., Eram, M., Khajeh, A., Mahmoudi, O., & Piltan, F. (2013). Design New Artificial Intelligence Base Modified PID Hybrid Controller for Highly Nonlinear System. International Journal of Advanced Science and Technology, 57(5), 45-62.
28 Piltan, F., Emamzadeh, S., Heidari, S., Zahmatkesh, S., & Heidari, K. (2013). Design Artificial Intelligent Parallel Feedback Linearization of PID Control with Application to Continuum Robot. International Journal of Engineering and Manufacturing, 3(2), 51-72.
29 Piltan, F., Hosainpour, A., Emamzadeh, S., Nazari, I., & Mirzaie, M. (2013). Design Sliding Mode Controller of with Parallel Fuzzy Inference System Compensator to Control of Robot Manipulator. IAES International Journal of Robotics and Automation, 2(4), 149.
30 Mirshekaran, M., Piltan, F., Esmaeili, Z., Khajeaian, T., & Kazeminasab, M. (2013). Design Sliding Mode Modified Fuzzy Linear Controller with Application to Flexible Robot Manipulator. International Journal of Modern Education and Computer Science, 5(10), 53.
31 Piltan, F., Mansoorzadeh, M., Akbari, M., Zare, S., & ShahryarZadeh, F. (2013). Management of Environmental Pollution by Intelligent Control of Fuel in an Internal Combustion Engine. Global Journal of Biodiversity Science And Management, 3(1).
32 Jahed, A., Piltan, F., Rezaie, H., & Boroomand, B. (2013). Design Computed Torque Controller with Parallel Fuzzy Inference System Compensator to Control of Robot Manipulator. International Journal of Information Engineering & Electronic Business, 5(3).
33 Piltan, F., Mansoorzadeh, M., Zare, S., Shahryarzadeh, F. A. T. E. M. E. H., & Akbari, M. (2013). Artificial tune of fuel ratio: Design a novel siso fuzzy backstepping adaptive variable structure control. International Journal of Electrical and Computer Engineering, 3(2), 171.
34 Piltan, F., Eram, M., Taghavi, M., Sadrnia, O. R., & Jafari, M. (2013). Nonlinear Fuzzy Model-base Technique to Compensate Highly Nonlinear Continuum Robot Manipulator. International Journal of Intelligent Systems and Applications, 5(12), 135.
35 Haghighi, S. T., Soltani, S., Piltan, F., Kamgari, M., & Zare, S. (2013). Evaluation Performance of IC Engine: linear tunable gain computed torque controller Vs. Sliding mode controller. International Journal of Intelligent Systems and Applications, 5(6), 78.
36 Jalali, A., Piltan, F., Keshtgar, M., & Jalali, M. (2013). Colonial Competitive Optimization Sliding Mode Controller with Application to Robot Manipulator. International Journal of Intelligent Systems and Applications, 5(7), 50.
37 Salehi, A., Piltan, F., Mousavi, M., Khajeh, A., & Rashidian, M. R. (2013). Intelligent Robust Feed-forward Fuzzy Feedback Linearization Estimation of PID Control with Application to Continuum Robot. International Journal of Information Engineering and Electronic Business, 5(1), 1.
38 Piltan, F., Yarmahmoudi, M., Mirzaie, M., Emamzadeh, S., & Hivand, Z. (2013). Design Novel Fuzzy Robust Feedback Linearization Control with Application to Robot Manipulator. International Journal of Intelligent Systems and Applications, 5(5), 1.
39 Piltan, F., Nabaee, A., Ebrahimi, M., & Bazregar, M. (2013). Design robust fuzzy sliding mode control technique for robot manipulator systems with modeling uncertainties. International Journal of Information Technology and Computer Science (IJITCS), 5(8), 123.
40 Jalali, A., Piltan, F., Gavahian, A., & Jalali, M. (2013). Model-free adaptive fuzzy sliding mode controller optimized by particle swarm for robot manipulator. International Journal of Information Engineering and Electronic Business, 5(1), 68.
41 Piltan, F., Piran, M., Bazregar, M., & Akbari, M. (2013). Design High Impact Fuzzy Baseline Variable Structure Methodology to Artificial Adjust Fuel Ratio. International Journal of Intelligent Systems and Applications, 5(2), 59.
42 Piltan, F., Emamzadeh, S., Hivand, Z., Shahriyari, F., & Mirazaei, M. (2012). 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), 106-150.
43 Piltan, F., & Haghighi, S. T. Design Adaptive MIMO Fuzzy Sliding Mode Algorithm Based on Inverse Dynamic Model: Applied to Second Order Nonlinear System.Piltan, F., & Haghighi, S. T. Evolutionary Design Auto Tune Sliding Surface Slope Adjust of Artificial Backstepping Applied to Artificial Estimator Sliding Mode Based Position Algorithm.
44 Kada, B. (2012, March). A New Methodology to Design Sliding-PID Controllers: Application to Missile Flight Control System. In International Federation of Automatic Control IFAC Conference on Advances in PID Control, Brescia,(Italy) (Vol. 2, No. 1, pp. 673-678).
45 Piltan, F., Piran, M., Akbari, M., & Barzegar, M. (2012). Baseline tuning methodology supervisory sliding mode methodology: Applied to IC engine. International Journal of Advances in Applied Sciences, 1(3), 116-124.
46 Piltan, F., Bayat, R., Mehara, S., & Meigolinedjad, J. (2012). GDO Artificial Intelligence-Based Switching PID Baseline Feedback Linearization Method: Controlled PUMA Workspace. International Journal of Information Engineering and Electronic Business, 4(5), 17.
47 Piltan, F., & Haghighi, S. T. (2012). Design Gradient Descent Optimal Sliding Mode Control of Continuum Robots. IAES International Journal of Robotics and Automation, 1(4), 175.
48 Piltan, F., Rahmdel, S., Mehrara, S., & Bayat, R. (2012). Sliding mode methodology vs. Computed torque methodology using matlab/simulink and their integration into graduate nonlinear control courses. International Journal of Engineering, 6(3), 142-177.
49 Piltan, F., Siamak, S., Bairami, M. A., & Nazari, I. (2012). Gradient descent optimal chattering free sliding mode fuzzy control design: LYAPUNOV approach. International Journal of Advanced Science and Technology, 43, 73-90.
50 Piltan, F., Bayat, R., Aghayari, F., & Boroomand, B. (2012). Design Error-Based Linear Model-Free Evaluation Performance Computed Torque Controller. International Journal of Robotics and Automation, 3(3), 151-166.
51 Piltan, F., Akbari, M., Piran, M., & Bazregar, M. (2012). Design Model Free Switching Gain Scheduling Baseline Controller with Application to Automotive Engine. International Journal of Information Technology and Computer Science (IJITCS), 5(1), 65.
52 Piltan, F., Aghayari, F., Rashidian, M. R., & Shamsodini, M. (2012). A New Estimate Sliding Mode Fuzzy Controller for Robotic Manipulator. International Journal of Robotics and Automation, 3(1), 45-58.
53 Piltan, F., Jahed, A., Rezaie, H., & Boroomand, B. (2012). Methodology of Robust Linear On-line High Speed Tuning for Stable Sliding Mode Controller: Applied to Nonlinear System. International Journal of Control and Automation, 5(3), 217-236.
54 Piltan, F., Meigolinedjad, J., Mehrara, S., & Rahmdel, S. (2012). Evaluation Performance of 2nd Order Nonlinear System: Baseline Control Tunable Gain Sliding Mode Methodology. International Journal of Robotics and Automation, 3(3), 192-211.
55 Piltan, F., Boroomand, B., Jahed, A., & Rezaie, H. (2012). Performance-Based Adaptive Gradient Descent Optimal Coefficient Fuzzy Sliding Mode Methodology. International Journal of Intelligent Systems and Applications, 4(11), 40.
56 Seven Tir Ave, S. Design New Control Methodology of Industrial Robot Manipulator: Sliding Mode Baseline Methodology.
57 Piltan, F., Mirzaei, M., Shahriari, F., Nazari, I., & Emamzadeh, S. (2012). Design Baseline Computed Torque Controller. International Journal of Engineering, 6(3), 129-141.
58 Apr, D., & Seven Tir Ave, S. Design New Control Methodology of Industrial Robot Manipulator: Sliding Mode Baseline Methodology.
59 Piltan, F., Keshavarz, M., Badri, A., & Zargari, A. (2012). Design Novel Nonlinear Controller Applied to RobotManipulator: Design New Feedback Linearization Fuzzy Controller with Minimum Rule Base Tuning Method. International Journal of Robotics and Automation, 3(1), 1-12.
60 Seven Tir Ave, S. Effect of Rule Base on the Fuzzy-Based Tuning Fuzzy Sliding Mode Controller: Applied to 2 nd Order Nonlinear System.
61 Piltan, F., Dialame, M., Zare, A., & Badri, A. (2012). Design Novel Lookup Table Changed Auto Tuning FSMC: Applied to Robot Manipulator. International Journal of Engineering, 6(1), 25-41.
62 Piltan, F., Boroomand, B., Jahed, A., & Rezaie, H. (2012). Methodology of Mathematical Error-Based Tuning Sliding Mode Controller. International Journal of Engineering, 6(2), 96-117.
63 Piltan, F., Hosainpour, A., Mazlomian, E., Shamsodini, M., & Yarmahmoudi, M. H. (2012). Online Tuning Chattering Free Sliding Mode Fuzzy Control Design: Lyapunov Approach. International Journal of Robotics and Automation, 3(3), 77-105.
64 Seven Tir Ave, S. Design Robust Backstepping on-line Tuning Feedback Linearization Control Applied to IC Engine.
65 Piltan, F., Nazari, I., Siamak, S., & Ferdosali, P. (2012). Methodology of FPGA-based mathematical error-based tuning sliding mode controller. Methodology, 5(1).
66 Piltan, F., Emamzadeh, S., Hivand, Z., Shahriyari, F., & Mirazaei, M. (2012). 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), 106-150.
67 Piltan, F., Yarmahmoudi, M. H., Shamsodini, M., Mazlomian, E., & Hosainpour, A. (2012). PUMA-560 Robot Manipulator Position Computed Torque Control Methods Using MATLAB/SIMULINK and Their Integration into Graduate Nonlinear Control and MATLAB Courses. International Journal of Robotics and Automation, 3(3), 167-191.
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69 Piltan, F., Sulaiman, N., Jalali, A., Siamak, S., & Nazari, I. (2011). Artificial Robust Control of Robot Arm: Design a Novel SISO Backstepping Adaptive Lyapunov Based Variable Structure Control. International Journal of Control and Automation, 4(4), 91-110.
70 Piltan, F., Allahdadi, S., Mohammad, A. B., & Nasiri, H. (2011). Design Auto Adjust Sliding Surface Slope: Applied to Robot Manipulator. International Journal of Robotics and Automation, 3(1), 27-44.
71 Piltan, F., Bairami, M. A., Aghayari, F., & Allahdadi, S. (2011). Design adaptive artificial inverse dynamic controller: Design sliding mode fuzzy adaptive new inverse dynamic fuzzy controller. International Journal of Robotics and Automation (IJRA), 3(1), 13.
72 Piltan, F., Sulaiman, N., Marhaban, M. H., & Ramli, R. (2011). Design On-Line Tunable Gain Artificial Nonlinear Controller. Journal of Advances In Computer Research, 2(4), 75-83.
73 Piltan, F., Sulaiman, N., Roosta, S., Marhaban, M. H., & Ramli, R. (2011). Design a new sliding mode adaptive hybrid fuzzy controller. Journal of Advanced Science & Engineering Research, 1(1), 115-123.
74 Piltan, F., Sulaiman, N. A. S. I. R. I., & AsadiTalooki, I. (2011). Evolutionary Design on-line Sliding Fuzzy Gain Scheduling Sliding Mode Algorithm: Applied to Internal Combustion Engine. International Journal of Engineering Science and Technology, 3(10), 7301-7308.
75 Piltan, F., Sulaiman, N., Zare, A., Allahdadi, S., & Dialame, M. (2011). Design adaptive fuzzy inference sliding mode algorithm: applied to robot arm. International Journal of Robotics and Automation, 2(5), 283-297.
76 Piltan, F., Sulaiman, N., Gavahian, A., Roosta, S., & Soltani, S. (2011). On line Tuning Premise and Consequence FIS: Design Fuzzy Adaptive Fuzzy Sliding Mode Controller Based on Lyaponuv Theory. International Journal of Robotics and Automation, 2(5), 381-400.
77 Piltan, F., Sulaiman, N., Roosta, S., Gavahian, A., & Soltani, S. (2011). Artificial Chattering Free on-line Fuzzy Sliding Mode Algorithm for Uncertain System: Applied in Robot Manipulator. International Journal of Engineering, 5(5), 360-379.
78 Seven Tir Ave, S. Artificial Robust Control of Robot Arm: Design a Novel SISO Backstepping Adaptive Lyapunov Based Variable Structure Control.
79 Piltan, F., Sulaiman, N., Ferdosali, P., Rashidi, M., & Tajpeikar, Z. (2011). Adaptive MIMO Fuzzy Compensate Fuzzy Sliding Mode Algorithm: Applied to Second Order Nonlinear System. International Journal of Engineering, 5(5), 380-398.
80 Piltan, F., Sulaiman, N., Jalali, A., & Aslansefat, K. (2011). Evolutionary Design of Mathematical tunable FPGA Based MIMO Fuzzy Estimator Sliding Mode Based Lyapunov Algorithm: Applied to Robot Manipulator. International Journal of Robotics and Automation, 2(5), 317-343.
81 Piltan, F., Sulaiman, N., Rashidi, M., Tajpaikar, Z., & Ferdosali, P. (2011). Design and Implementation of Sliding Mode Algorithm: Applied to Robot Manipulator-A Review. International Journal of Robotics and Automation, 2(5), 265-282.
82 Piltan, F., Sulaiman, N., Gavahian, A., & Marhaban, M. H. Sliding Mode Controller for robot manipulator using FPGA.
83 Piltan, F., Sulaiman, N., Roosta, S., Gavahian, A., & Soltani, S. (2011). Evolutionary Design of Backstepping Artificial Sliding Mode Based Position Algorithm: Applied to Robot Manipulator. International Journal of Engineering, 5(5), 419-434.
84 Piltan, F., Sulaiman, N., Allahdadi, S., Dialame, M., & Zare, A. (2011). Position Control of Robot Manipulator: Design a Novel SISO Adaptive Sliding Mode Fuzzy PD Fuzzy Sliding Mode Control. International Journal of Artificial intelligence and Expert System, 2(5), 208-228.
85 Piltan, F., Sulaiman, N., Ferdosali, P., & Talooki, I. A. (2011). Design Model Free Fuzzy Sliding Mode Control: Applied to Internal Combustion Engine. International Journal of Engineering, 5(4), 302-312.
86 Piltan, F., Sulaiman, N., Jalali, A., & Narouei, F. D. (2011). Design of Model Free Adaptive Fuzzy Computed Torque Controller: Applied to Nonlinear Second Order System. International Journal of Robotics and Automation, 2(4), 232-244.
87 Piltan, F., Sulaiman, N., Nasiri, H., Allahdadi, S., & Bairami, M. A. (2011). Novel Robot Manipulator Adaptive Artificial Control: Design a Novel SISO Adaptive Fuzzy Sliding Algorithm Inverse Dynamic Like Method. International Journal of Engineering, 5(5), 399-418.
88 Piltan, F., Jalali, A., Sulaiman, N., Gavahian, A., & Siamak, S. (2011). Novel artificial control of nonlinear uncertain system: design a novel modified PSO SISO Lyapunov based fuzzy sliding mode algorithm. International Journal of Robotics and Automation, 2(5), 298-316.
89 Piltan, F., Sulaiman, N., Talooki, I. A., & Ferdosali, P. (2011). Control of IC Engine: Design a Novel MIMO Fuzzy Backstepping Adaptive Based Fuzzy Estimator Variable Structure Control. International Journal of Robotics and Automation, 2(5), 360-380.
90 Piltan, F., Sulaiman, N., Zargari, A., Keshavarz, M., & Badri, A. (2011). Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator. International Journal of Artificial intelligence and expert system, 2(4), 184-195.
91 Piltan, F., Haghighi, S. T., Sulaiman, N., Nazari, I., & Siamak, S. (2011). 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.
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Mr. Farzin Piltan
SSP Co. - Malaysia
SSP.ROBOTIC@yahoo.com
Dr. N. Sulaiman
- Malaysia
Mr. Zahra Tajpaykar
- Iran
Dr. Payman Ferdosali
- Iran
Mr. Mehdi Rashidi
- Iran


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