2001 ieee/asme international Conference on


:10―16:30 Intelligent 3-D Sensing in Automated Manufacturing Processes



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16:10―16:30

Intelligent 3-D Sensing in Automated Manufacturing Processes


Q.M. Jonathan Wu, M.F. Ricky Lee, Nationalo Research Council, Clarence W. de Silva, University of British Columbia, Canada
This paper focuses on the design of an intelligent, three-dimensional (3-D) sensing system for the purpose of applying artificial intelligence methodologies to achieve product quality assurance in automated manufacturing processes. An efficient 3-D object-oriented knowledge base and reasoning algorithm is developed. The knowledge base will include knowledge concerning the (1). products, (2). manufacturing processes, and (3). inspection methods. The knowledge base of products contains properties of the products for design and manufacture through CAD/CAM. The knowledge base of manufacturing and inspection includes various manufacturing techniques, criteria for detection and diagnosis of defects, and standards and limitations on various decision-making actions related to the …

Open System Real Time Architecture and Software Design for Robot Control


B. Bona, M. Indri, N. Smaldone, Politecnico di Torino, Italy

Robotics equipments used in research studies or industrial prototyping often require reconfiguration of some HW/SW architectures and algorithms for new experiments and trials. Such requirements highlight the interest in new open control system architectures interacting with suitable applications for software development in order to reduce and simplify the project cycle. The goal of this paper is to show an application based on one of these systems - OpenDSP - which allows an easy reconfiguration of a DSP-based hardware for different applications (e.g. different manipulators or the inclusion of additional transducers). An interesting feature of the Developed system is given by its full integration with Matlab environment. OpenDSP has been developed by Mechatronics Laboratory of Politecnico di Torino and …

16:30―16:50

Development of an Intelligent Control System for Wood Drying Processes


Xiaochun George Wang, Wei Liu, Lizhu Gu, Colin Jian Sun, Caikang Elton Gu, Innovation Center, Clarence W. de Silva, University of British Columbia, Canada

This paper presents the development of the intelligent adaptive control system of an industrial lumber drying process. The research project mainly focuses on automating the wood drying process through developing and implementing a closed-loop intelligent and adaptive controller with intelligent capability based on the moisture content of wood. The lumber drying process is complex due to many factors including distributed process dynamics, nonlinearities, drying property variation among wood pieces, and the coupling effects of temperature, relative humidity and moisture content. The developed control system involves the …

Closed Loop Control of 3D Underactuated Vehicles via Velocity Field Tracking


M. Aicardi, G. Casalino, Università di Genova, Italy, G. Indiveri, GMD―AiS, Germany
A novel strategy to design time invariant motion controllers for underactuated mobile systems is applied to the position and attitude control of an underactuated 3D vehicle. The idea consists in defining a velocity vector field such that an ideal, fully actuated system would exponentially achieve the control objective by simply following such field. Then a steering law for the given underactuated system is designed such that it is exponentially stabilized parallel to the above mentioned velocity vector field. For the particular problem here addressed, due to the use of polar like coordinates, this method yields a discontinuous control law. Both the design process and the resulting solution have a most clear physical …

16:50―17:10

Application of Vibration Sensing in Monitoring and Control of Machine Health


K.Z. Tang, K.K. Tan, National University of Singapore, C.W. de Silva, University of British Columbia, Canada, T.H. Lee, K.C. Tan, C.Y. Soh, National University of Singapore, Singapore

In this paper, an application for monitoring and control of machine health using vibration sensing is developed. This vibration analyzer is able to continuously monitor and compare the actual vibration pattern against a vibration signature, based on a fuzzy fusion technique. More importantly, this intelligent knowledge-based real-time analyzer is able to detect excessive vibration conditions much sooner than a resulting fault could be detected by an operator. Subsequently, appropriate actions can be taken, say to provide a warning or automatic corrective action. This approach may be implemented independently of the control system …

Steering Marine Vehicles: a Drag Coefficient Modulation Approach


M. Aicardi, G. Casalino, Università di Genova, Italy, G. Indiveri, GMD―AiS, Germany
An underwater planar vehicle, actuated by rear thrusters and equipped with longitudinal control surfaces which allow the drag coeficient modulation in the sway direction, is considered in a dynamic setting. The maneuvring controls for the vehicle, in order to reach the required final position and attitude are devised by exploiting both the rear thrusters actuation and the capability ofiered by the admitted presence of the longitudinal, modulable, control surfaces.

17:10―17:30

Neurocomputing Approach for Real Time Optimisation Modelling of an Industrial Process


K. Mohd. Yusof, F. Karray, P.L. Douglas, University of Waterloo, Canada

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