Design Parallel Fuzzy Partly Inverse Dynamic Method plus Gravity Control for Highly Nonlinear Continuum Robot

Refer to this research, a position parallel error-based fuzzy inverse dynamic plus gravity controller is proposed for continuum robot manipulator. The main problem of the pure inverse dynamic controller was equivalent dynamic formulation in certain and uncertain systems. The nonlinear equivalent dynamic problem in uncertain system is solved by using fuzzy logic theory. To estimate the continuum robot manipulator system's dynamic, 49 rules Mamdani inference system is design and applied to inverse dynamic plus gravity methodology. This methodology is based on applied fuzzy logic in equivalent nonlinear dynamic part to estimate unknown parameters. The results demonstrate that the error-based parallel fuzzy inverse dynamic plus gravity controller is a partly model-free controllers which works well in certain and partly uncertain system.

[1]  Christopher C. Pagano,et al.  Continuum robot arms inspired by cephalopods , 2005, SPIE Defense + Commercial Sensing.

[2]  Farzin Piltan,et al.  Evolutionary Design of Backstepping Artificial Sliding Mode Based Position Algorithm: Applied to Robot Manipulator , 2011 .

[3]  Farzin Piltan,et al.  PUMA-560 Robot Manipulator Position Sliding Mode Control Methods Using MATLAB/SIMULINK and Their Integration into Graduate/Undergraduate Nonlinear Control, Robotics and MATLAB Courses , 2012 .

[4]  Farzin Piltan,et al.  Stable Fuzzy PD Control with Parallel Sliding Mode Compensation with Application to Rigid Manipulator , 2013 .

[5]  Farzin Piltan,et al.  Evaluation Performance of IC Engine: Linear Tunable Gain Computed Torque Controller vs. Sliding Mode Controller , 2013 .

[6]  Farzin Piltan,et al.  Artificial Robust Control of Robot Arm: Design a Novel SISO Backstepping Adaptive Lyapunov Based Variable Structure Control. , 2011 .

[7]  Farzin Piltan,et al.  Design Error-based Linear Model-free Evaluation Performance Computed Torque Controller , 2012 .

[8]  Farzin Piltan,et al.  Intelligent Robust Feed-forward Fuzzy Feedback Linearization Estimation of PID Control with Application to Continuum Robot , 2013 .

[9]  Alin Albu-Schäffer,et al.  Soft robotics , 2008, IEEE Robotics & Automation Magazine.

[10]  Farzin Piltan,et al.  Parallel Soft Computing Control Optimization Algorithm for Uncertainty Dynamic Systems , 2013 .

[11]  Farzin Piltan,et al.  Evolutionary Design of Mathematical tunable FPGA Based MIMO Fuzzy Estimator Sliding Mode Based Lyapunov Algorithm: Applied to Robot Manipulator , 2011 .

[12]  Farzin Piltan,et al.  On line Tuning Premise and Consequence FIS: Design Fuzzy Adaptive Fuzzy Sliding Mode Controller based on Lyaponuv Theory. , 2011 .

[13]  Ian D. Walker,et al.  Octopus-inspired grasp-synergies for continuum manipulators , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[14]  Farzin Piltan,et al.  Design Baseline Computed Torque Controller , 2012 .

[15]  Farzin Piltan,et al.  Performance-Based Adaptive Gradient Descent Optimal Coefficient Fuzzy Sliding Mode Methodology , 2012 .

[16]  Ian D. Walker,et al.  Field trials and testing of the OctArm continuum manipulator , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[17]  Farzin Piltan,et al.  Design New Control Methodology of Industrial Robot Manipulator: Sliding Mode Baseline Methodology , 2012 .

[18]  Farzin Piltan,et al.  Design Novel Fuzzy Robust Feedback Linearization Control with Application to Robot Manipulator , 2013 .

[19]  W. Marsden I and J , 2012 .

[20]  Shoichi Iikura,et al.  Development of flexible microactuator and its applications to robotic mechanisms , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[21]  Farzin Piltan,et al.  Online Tuning Chattering Free Sliding Mode Fuzzy Control Design: Lyapunov Approach , 2012 .

[22]  Farzin Piltan,et al.  GDO Artificial Intelligence-Based Switching PID Baseline Feedback Linearization Method: Controlled PUMA Workspace , 2012 .

[23]  Farzin Piltan,et al.  Design Adaptive Fuzzy Inference Sliding Mode Algorithm: Applied to Robot Arm , 2011 .

[24]  Farzin Piltan,et al.  Model-Free Adaptive Fuzzy Sliding Mode Controller Optimized by Particle Swarm for Robot Manipulator , 2013 .

[25]  Farzin Piltan,et al.  Effect of Rule Base on the Fuzzy-Based Tuning Fuzzy Sliding Mode Controller: Applied to 2 nd Order Nonlinear System , 2012 .

[26]  Ian D. Walker,et al.  Soft robotics: Biological inspiration, state of the art, and future research , 2008 .

[27]  Farzin Piltan,et al.  Colonial Competitive Optimization Sliding Mode Controller with Application to Robot Manipulator , 2013 .

[28]  Farzin Piltan,et al.  Methodology of Robust Linear On-line High Speed Tuning for Stable Sliding Mode Controller: Applied to Nonlinear System , 2012 .

[29]  Farzin Piltan,et al.  Design Gradient Descent Optimal Sliding Mode Control of Continuum Robots , 2012, ICRA 2012.

[30]  Farzin Piltan,et al.  Artificial Chattering Free on-line Fuzzy Sliding Mode Algorithm for Uncertain System: Applied in Robot Manipulator , 2011 .

[31]  Farzin Piltan,et al.  Evaluation Performance of 2 nd Order Nonlinear System: Baseline Control Tunable Gain Sliding Mode Methodology , 2012 .

[32]  J. Bruce C. Davies,et al.  Continuum robots - a state of the art , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[33]  Farzin Piltan,et al.  A Design High Impact Lyapunov Fuzzy PD-Plus-Gravity Controller with Application to Rigid Manipulator , 2013 .

[34]  Farzin Piltan,et al.  Design Robust Backstepping on-line Tuning Feedback Linearization Control Applied to IC Engine , 2012 .