|
1. |
Iterative learning control: A survey and new results |
|
Journal of Robotic Systems,
Volume 9,
Issue 5,
1992,
Page 563-594
Kevin L. Moore,
Mohammed Dahleh,
S. P. Bhattacharyya,
Preview
|
PDF (1508KB)
|
|
摘要:
AbstractLearning control is an iterative approach to the problem of improving transient behavior for processes that are repetitive in nature. In this article, we present some results on iterative learning control. A complete review of the literature is given first. Then, a general formulation of the problem is given. Next, we present a complete analysis of the learning control problem for the case of linear, time‐invariant plants and controllers. This analysis offers: (1) insight into the nature of the solution of the learning control problem by deriving sufficient convergence conditions; (2) an approach to learning control for linear systems based on parameter estimation; and (3) an analysis that shows that for finite‐horizon problems it is possible to design a learning control algorithm that converges, with memory, in one step. Finally, a time‐varying learning controller is given for controlling the trajectory of a nonlinear robot manipulator. A brief simulation example is presented to illustrate the effectiveness of this s
ISSN:0741-2223
DOI:10.1002/rob.4620090502
出版商:Wiley Subscription Services, Inc., A Wiley Company
年代:1992
数据来源: WILEY
|
2. |
Deformation identification and estimation of one‐dimensional objects by vision sensors |
|
Journal of Robotic Systems,
Volume 9,
Issue 5,
1992,
Page 595-612
Chichyang Chen,
Yuan F. Zheng,
Preview
|
PDF (1045KB)
|
|
摘要:
AbstractUsing vision sensors to study object deformation is introduced in this article. The vision sensor is used to identify the deformation characteristic and estimate the deformation behavior of flexible beams. First, a nonlinear equation describing the deformation of the beam is given. Then, cubic spline functions are used to approximate the contour of the deformed beam after the beam is detected by the vision sensor. Using the cubic spline approximation and Maclaurin's series expansion, a procedure to determine the deformation characteristic is formulated. To estimate the deformation behavior, numerical differential method to solve the nonlinear equation is used. The error of this numerical method can be controlled with the aid of the vision sensor. Finally, experimental results are given to verify that the proposed methods are effective.
ISSN:0741-2223
DOI:10.1002/rob.4620090503
出版商:Wiley Subscription Services, Inc., A Wiley Company
年代:1992
数据来源: WILEY
|
3. |
Path feasibility and modification |
|
Journal of Robotic Systems,
Volume 9,
Issue 5,
1992,
Page 613-633
Kuu‐Young Young,
Chi‐Haur Wu,
Preview
|
PDF (937KB)
|
|
摘要:
AbstractKinematic feasibility of a planned robot path is restrained by the kinematic constraints of the robot executing the task, such as workspace, configuration, and singularity. Since these kinematic constraints can be described utilizing the geometry of the given robot, corresponding regions within the robot workspace can be expressed in geometrical representation. Consequently, geometric information can be derived from the planned path and the geometric boundaries of these regions. Then, by utilizing the geometric information and proper modification strategies, a Cartesian robot path that is kinematically infeasible can be modified according to different task requirements. To demonstrate the proposed feasibility and modification schemes, simulations for a 6R robot manipulator are executed.
ISSN:0741-2223
DOI:10.1002/rob.4620090504
出版商:Wiley Subscription Services, Inc., A Wiley Company
年代:1992
数据来源: WILEY
|
4. |
Power grasp force distribution control using artificial neural networks |
|
Journal of Robotic Systems,
Volume 9,
Issue 5,
1992,
Page 635-661
Mark D. Hanes,
Stanley C. Ahalt,
Khalid Mirza,
David E. Orin,
Preview
|
PDF (1353KB)
|
|
摘要:
AbstractIn this article, methods for force distribution control of power grasp are developed. A power grasp is characterized by multiple points of contact between the object grasped and the surfaces of the fingers and palm. The grasp is highly stable because of form closure. However, modeling power grasps is difficult because of the resulting closed kinematic structure and the complexity of multiple contacts. The first method used to obtain the desired force distribution is based on linear programming. In particular, a model of the DIGITS grasping system, under development at The Ohio State University, is used, and constraint equations are formulated for force balance and actuator torque limits. Supervisory control of the desired forces at the contacts is achieved by prescribing a desired clinch level. The objective function is designed to achieve the desired clinch level, except in cases where the specified force is inadequate to stably hold the object. Although this method yields the desired force distribution, a second method based on artificial neural networks (ANNs) is developed to achieve constant‐time solutions. Linear programming solutions are used to generate training data for a set of ANNs. Two techniques, modular networks and adaptive slopes, are also developed and employed in the training to improve the training time and accuracy of the ANNs. The results show that the ANNs learn the appropriate nonlinear mapping for the force distribution and provide stable grasp over a wide range of object sizes and clinch level
ISSN:0741-2223
DOI:10.1002/rob.4620090505
出版商:Wiley Subscription Services, Inc., A Wiley Company
年代:1992
数据来源: WILEY
|
5. |
Frequency domain synthesis of trajectory learning controllers for robot manipulators |
|
Journal of Robotic Systems,
Volume 9,
Issue 5,
1992,
Page 663-680
Tom Kavli,
Preview
|
PDF (790KB)
|
|
摘要:
AbstractTrajectory learning control is a method for generating near to optimal feedforward control for systems that are controlled along a reference trajectory in repeated cycles. Iterative refinements of a stored feedforward control sequence corresponding to one cycle of the control trajectory is computed based upon the recorded trajectory error from the previous cycle. Several learning operators have been proposed in earlier work, and convergence proofs are developed for certain classes of systems, but no satisfactory method for design and analysis of learning operators under the presence of uncertainties in the system model have been presented. This article presents frequency domain methods for analyzing the convergence properties and performance of the learning controller when the amplitude and phase of the system transfer function is assumed to be within specified windows. Experimental results with an industrial robot manipulator confirm the theoretical results.
ISSN:0741-2223
DOI:10.1002/rob.4620090506
出版商:Wiley Subscription Services, Inc., A Wiley Company
年代:1992
数据来源: WILEY
|
6. |
Procedure for manipulator inverse kinematics computation and proper pseudoinverse perturbation |
|
Journal of Robotic Systems,
Volume 9,
Issue 5,
1992,
Page 681-702
R. V. Mayorga,
A. K. C. Wong,
K. S. Ma,
Preview
|
PDF (923KB)
|
|
摘要:
AbstractIn this article, an efficient procedure for the proper pseudoinverse perturbation and the numerical inverse kinematics computation of robot manipulators is presented. The approach is based on solving a linear system of equations and using an original scheme for the appropriate perturbation of the pseudoinverse matrix in the next iteration. The resultant algorithm is tested on the simulation of an industrial robot manipulator. From the results obtained, it is observed that the proposed approach compares favorably with the approaches using a Gaussian elimination procedure and with pseudoinverse robustness based on a manipulability measure.
ISSN:0741-2223
DOI:10.1002/rob.4620090507
出版商:Wiley Subscription Services, Inc., A Wiley Company
年代:1992
数据来源: WILEY
|
7. |
Masthead |
|
Journal of Robotic Systems,
Volume 9,
Issue 5,
1992,
Page -
Preview
|
PDF (54KB)
|
|
ISSN:0741-2223
DOI:10.1002/rob.4620090501
出版商:Wiley Subscription Services, Inc., A Wiley Company
年代:1992
数据来源: WILEY
|
|