外文翻譯---使用語(yǔ)音識(shí)別技術(shù)控制的焊接機(jī)器人工作單元-其他專業(yè)-在線瀏覽
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【正文】 is select button in conjunction with a positive or negative jog button that is depressed by the operator. Once the operator has selected an axis, he depresses one of the jog buttons for the desired travel function was selected to be controlled by the VRCC because of its utilization during automatic operation of the manipulator to correct trajectory errors. The circuitry necessary to control this operation draws the signal to ground through the activation of relays for the positive or negative jog motion. Because motion is achieved only as long as these signals are active low. they can be controlled by discrete digital signals from the VRCC. Analog Control Signals There are many variables that affect the quality of weld during the welding process. but the welding current has the greatest effect over a small range of values. It was for this reason, that the welding current was chosen to be controlled by the voice recognition system. The welding power supply controls the current level through a voltage circuit that uses a range of 010 V DC. These voltage values are converted to current levels from 0 to 300 A for welding. A digitaltoanalog converter is used in conjunction with a multiplying circuit. The converter allows the VRCC to control a voltage level that is used by the weld power supply to achieve the proper welding current. The multiplier circuit is necessary to allow the weld power supply to be controlled by the other subcontroller used in the workcell. Experimental Investigation The accuracy and speed of response of corrections to robot manipulator motion and welding process variables made with the VRCC are being pared with those made with the original control system. Step input errors to robot motion and welding current are introduced randomly into the robot program. By graphically recording relevant system output signals,the time required for the operator to detect the change and initiate corrective action may be measured. Response accuracy and stability may also be gaged through similar analysis of the relevant recorded system output signals. Conclusions Future work will investigate voice control of welding filler wirefeed speed and location of wire entry into the weld pool. Also to be investigated is voice control of welding arc voltage override. Later, restriction of access to the robot program editor by voice recognition may be implemented. The use of voice recognition technology for manual supervisory control of industrial robot systems is very promising. This technology has application for aerospace welding due to the need to have constant human supervision over a multitude of process parameters in real time. Future development of this technology will permit rapid expansion of its application to both robotic and nonrobotic processes. Acknowledgment Special thanks to Mr. Jeff Hudson of Martin Marietta Corporation for assistance in the preparation of the illustration presented in this article. References [1] C. A . Simpson. hl. E. McCauley. E. F. Rolland. J . C. Ruth. and B. H. Williges. System Design for Speech Recognition and Generation. Hutnnn Factors. vol. 27. no. 2. . 1985. [2] National Research Council. Committee on Computerized Speech Recognition Speech Rerop1irior1 in severe Environments National Research . [3] E. J. Lerner. Talking to Your Aircraft. Aerospace America. vol. 24. no. 2. pp. 8588. 1986. [4] J. T. Memlield. Bosing Explores Voice Recognition for Future Transpon Flight Deck. Ariarinn Week and Space Techno/ og!. vol. 124. no. 16. pp.
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