[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Ding et al., 2018 - Google Patents

Nonlinear friction and dynamical identification for a robot manipulator with improved cuckoo search algorithm

Ding et al., 2018

View PDF @Full View
Document ID
2504194011268585514
Author
Ding L
Li X
Li Q
Chao Y
Publication year
Publication venue
Journal of Robotics

External Links

Snippet

This paper concerns the problem of dynamical identification for an industrial robot manipulator and presents an identification procedure based on an improved cuckoo search algorithm. Firstly, a dynamical model of a 6‐DOF industrial serial robot has been derived …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00Systems involving the use of models or simulators of said systems
    • G05B17/02Systems involving the use of models or simulators of said systems electric
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5086Mechanical design, e.g. parametric or variational design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B21/00Systems involving sampling of the variable controlled
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B5/00Anti-hunting arrangements

Similar Documents

Publication Publication Date Title
Ding et al. Nonlinear friction and dynamical identification for a robot manipulator with improved cuckoo search algorithm
Ding et al. Dynamic Model Identification for 6‐DOF Industrial Robots
Ajwad et al. Optimal and robust control of multi DOF robotic manipulator: Design and hardware realization
Ouyang et al. PID position domain control for contour tracking
Jia et al. Improved dynamic parameter identification method relying on proprioception for manipulators
Dogan et al. Learning control of robot manipulators in task space
Fedor et al. Model-based fuzzy control applied to a real nonlinear mechanical system
Yang et al. Adaptive neural tracking control of robotic manipulators with guaranteed nn weight convergence
J. Harandi et al. Adaptive interconnection and damping assignment passivity‐based control for an underactuated cable‐driven robot
Irfan et al. Control strategies for inverted pendulum: A comparative analysis of linear, nonlinear, and artificial intelligence approaches
Delchev Iterative learning control for robotic manipulators: A bounded‐error algorithm
Wang et al. Robust fixed‐time inverse dynamic control for uncertain robot manipulator system
Yan et al. Parameter identification of robot manipulators: A heuristic particle swarm search approach
Mahmoodabadi et al. Trajectory Tracking of a Flexible Robot Manipulator by a New Optimized Fuzzy Adaptive Sliding Mode‐Based Feedback Linearization Controller
Tan et al. Controlling robot manipulators using gradient-based recursive neural networks
Massaoudi et al. Robust control for a two DOF robot manipulator
Wang et al. Observer‐Based Finite‐Time Sliding‐Mode Control of Robotic Manipulator with Flexible Joint Using Partial States
Arshad et al. Deep Deterministic Policy Gradient to Regulate Feedback Control Systems Using Reinforcement Learning.
Liu et al. Trajectory tracking control for uncertain robot manipulators with repetitive motions in task space
Liang et al. Task space trajectory tracking control of robot manipulators with uncertain kinematics and dynamics
Wang et al. An ANN‐Based Precision Compensation Method for Industrial Manipulators via Optimization of Point Selection
Song et al. A three-loop physical parameter identification method of robot manipulators considering physical feasibility and nonlinear friction model
Jianwang et al. Direct Data‐Driven Control for Cascade Control System
Agrawal Analysis of efficiency of fractional order technique in a controller for a complex nonlinear control process
Gale et al. Improvement of a robotic manipulator model based on multivariate residual modeling