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CMAC LEARNING DATA PICKING METHOD IN DRIVE ROBOT SYSTEM
CMAC LEARNING DATA PICKING METHOD IN DRIVE ROBOT SYSTEM
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机译:驱动机器人系统中的cmac学习数据选取方法
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摘要
PURPOSE: To establish a CMAC learning data picking method in a drive robot system operated on a chassis dynamometer. CONSTITUTION: Throttle opening control is taken as an engine control method for a vehicle, speed control is taken as a dynamo control method, and the car speed is controlled to 20Km/h by dynanao control. Transmission is set to 3rd, the car speed is changed to adjust the engine rotating speed to the rotating speed to be picked, and an accelerator opening is set to 80%. A data intake signal is sent to CMAC personal computer, the accelerator opening is gradually decreased from 80%, and a personal computer data picking signal is off. While the value of rotating speed to be picked is changed until all data of desired constant rotating speed is obtained, the above process is conducted. Thus, torque data of constant rotating speed can be obtained.
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