The reaction of autonomous mobile robot to the dynamic, uncertain, and changeable environment is one of most difficult issue in control of the intelligent autonomous robot movement. Fuzzy control appears as a very use...
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The reaction of autonomous mobile robot to the dynamic, uncertain, and changeable environment is one of most difficult issue in control of the intelligent autonomous robot movement. Fuzzy control appears as a very useful tool for handling the intelligent reactive navigation. Present work deals with building of fuzzy behaviors based reactive navigation to reach the goal, propose new method to blend and coordinate multiple behaviors in the same time. This method using fuzzy technique and fix priority value reflects the importance of the behavior. Our behaviors system is test by building our simulation and animation programs that reflect online the robot movement using graphical user interface (GUI).
In our previous work, several system elements for space teleoperation were introduced: a Singularity Consistent (SC) teleoperation system, a mixed force and motion commands based space teleoperation system and a 6-DOF...
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The TRANSCEND system for fault detection and isolation in continuous systems uses qualitative reasoning methods to analyze transients caused by abrupt faults. Qualitative transient analysis avoids some of the computat...
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The TRANSCEND system for fault detection and isolation in continuous systems uses qualitative reasoning methods to analyze transients caused by abrupt faults. Qualitative transient analysis avoids some of the computational difficulties associated with numerical schemes, but they lack discriminating power. This paper presents the formal basis for qualitative transient analysis, and then establishes the limits of the discriminatory power of this methodology. An integrated scheme that starts with qualitative fault isolation to narrow down possible fault hypotheses, and then uses a focused quantitative parameter estimation scheme to identify the true fault is developed. This approach provides a number of advantages over purely quantitative FDI schemes.
This paper describes the goals and current accomplishments of this research. The main thrust of this effort is to design artificial limbs that are lightweight, compact and dexterous, that mimic human anatomy and maint...
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An intelligent remote centre compliance (IRCC), has been built to develop a self-teaching robot that is capable of managing and improving the efficiency of assembly operations. Robots are now commonplace in the modern...
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An intelligent remote centre compliance (IRCC), has been built to develop a self-teaching robot that is capable of managing and improving the efficiency of assembly operations. Robots are now commonplace in the modern manufacturing environment, but need to be used to their full capacity in order to be made cost effective. The proposed IRCC is a design tool that analyses operations being performed, using simple industrial electronics, and develops a kinematic model of the process based on this information. This model is used to generate new control routines and reduce the complexity of the required task. The IRCC system is also used to design a 'task optimised compliance', specifically designed to further maximise the efficiency of a particular task. By introducing this self-awareness it is possible to upgrade a simple robot to a state of the art learning machine. This paper details the design of such an IRCC system.
This paper describes an Internet experiment system for control engineering that is comprised of an experiment system and a computer-aided teaching system. The experiment system was set up in a laboratory and connected...
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This paper describes an Internet experiment system for control engineering that is comprised of an experiment system and a computer-aided teaching system. The experiment system was set up in a laboratory and connected to the Internet so that students could do experiments on their own personal computers anywhere anytime. The computer-aided teaching system was implemented by building a database on a server to which students had free access, and which they could then use to store and share information on their experiments.
Describes the objectives of a project, which are to design artificial limbs that are lightweight, compact and dexterous, that mimic human anatomy and maintain a high lifting capability. The key to satisfying these obj...
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Describes the objectives of a project, which are to design artificial limbs that are lightweight, compact and dexterous, that mimic human anatomy and maintain a high lifting capability. The key to satisfying these objectives is the use of shape memory alloy (SMA) artificial muscles as actuators. A general methodology to find the placement of SMA wires to achieve desired ranges of motion is presented. Two experimental prototypes, emulating human skeletal structures that are actuated by SMA artificial muscles are described in detail.
This paper presents the feasibility study of an adaptive impedance force control application to deburring/milling process. The proposed control regulates desired force on nonhomogeneous workpiece in regardless of unkn...
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This paper presents the feasibility study of an adaptive impedance force control application to deburring/milling process. The proposed control regulates desired force on nonhomogeneous workpiece in regardless of unknown location and stiffness of the workpiece. The adaptive technique of minimizing the force error between the desired and the actual force is used to compensate for uncertainties in unknown workpiece. Effect of selecting the impedance damping gain with different workpiece stiffness on force tracking is analytically determined. Analyzing the stability of the proposed adaptive force control yields the bound of the adaptive gain for stability. Simulation studies of deburring/milling process show the excellent force tracking and confirm stability bound for stable force tracking.
On the basis of Lagrangian mechanics uniform structures made of simple and standardized procedures and closed form analytical formulas were previously used to develop an adaptive control for SCARA robots in dynamic in...
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On the basis of Lagrangian mechanics uniform structures made of simple and standardized procedures and closed form analytical formulas were previously used to develop an adaptive control for SCARA robots in dynamic interaction with an unmodeled environment. This standardized form contains well defined free parameters by tuning of which the complex effect of the behavior of the controlled system as well as that of the external interactions can be 'imperfectly' modeled and learned. These structures, free parameters and procedures play exactly the same role as that of the traditional artificial neural networks (ANNs) or fuzzy controllers: the structures and the procedures are fit for a wide class of problems more or less similar to each other, while parameter tuning corresponds to learning the concrete properties of a particular element of this wider set. While in the case of the standard soft computing methods there is no reliable a priori information on the number of the concrete elements in the uniform structures, the proposed method has definite indication for this by using the Lie parameters of the orthogonal group. In the initial stage of learning the proposed methods also use a standardized ancillary procedure, a very simple form of regression analysis based controller compensating the remnant errors whenever appropriate. In this paper certain details of the uniform control and parameter-tuning are discussed on the basis of simulation results. It can be concluded that the approach is promising therefore experimental investigations are under preparation.
A force tracking nonlinear impedance control scheme using a neural network is introduced. Due to the nonlinear characteristics of the proposed control law, stability has been analyzed. The numerical bound of environme...
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A force tracking nonlinear impedance control scheme using a neural network is introduced. Due to the nonlinear characteristics of the proposed control law, stability has been analyzed. The numerical bound of environment position uncertainty for ensuring robot contact with the environment and to perform desired force tracking has been found. Intensive simulation studies with a three link rotary robot manipulator tracking the surface with a desired force are carried out to confirm the boundary solutions of the proposed scheme under no knowledge of environment surface position and environment stiffness.
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