6 research outputs found

    Light Loaded Automated Guided Vehicle

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    The objective of the locomotion system was to design and implement the mechanical, electrical, and software related functions to ensure the LLAGV had the capability of maneuvering its surroundings. The LLAGV’s motors were represented in an open loop transfer function to utilize RPM feedback and a compensator when needed. The modeled compensator helped control the LLAGV’s speed and acceleration, enabling further control of the LLAGV. The internal circuitry has the means to properly distributed power to all components and allowed the user to control the LLAGV to their desire. The application software within the LLAGV locomotion system (LLAGV-LS) had consideration for distance and angle variation, provided by the navigation system (NS) team where this information was pulled from an in-memory database. Changing the angle and distance, from the user, was done using motor control theory and application. The data along with feedback from the system provided a reliable and predictable means of driving the LLAGV’s traction control system as well as incorporating input from the user and delivering a source of feedback to the user, ultimately creating a cohesive, intuitive interface for the user to take advantage of the convenience the LLAGV offered. The LLAGV also had basic object detection features in which the NS informs the LS Team B would inform Team A of an object in front of the LLAGV. The LLAGV then conducts the actions necessary to avoid the object. Key features are as included below. LLAGV maintains a distance of 3 to 10 feet with an average of 3 ft/sec LED lights dictate the state of charge and state and direction intent LLAGV lasts for a minimum of two hours at a full charge LLAGV carries a light load of up to 30 pound

    Proceedings of the 2018 Canadian Society for Mechanical Engineering (CSME) International Congress

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    Published proceedings of the 2018 Canadian Society for Mechanical Engineering (CSME) International Congress, hosted by York University, 27-30 May 2018
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