A novel hand-motion crane control system was developed that improves performance by providing: 1) an intuitive control interface and 2) an element that reduces the complex oscillatory behavior of the payload. Hand-motion control allows operators to drive a crane by simply moving a hand-held radio-frequency tag through the desired path. Real-time location sensors track the movements of the tag and its position is used in a feedback-loop to drive the crane. However, tag measurements are corrupted by noise. It is important to understand the noise properties so that appropriate filters can be designed to mitigate the effects of noise and improve tracking accuracy. This paper quantifies the measurement noise for two possible situations during hand-motion control: when the tag is 1) located in open space inside the sensor coverage zone, and 2) is placed near large machinery. This paper also presents a Kalman filter that adapts to the noise characteristics of the workspace to minimize the tag-tracking error.
- Dynamic Systems and Control Division
Kalman Filtering for Improving Radio-Frequency Hand Motion Crane Control
- Views Icon Views
- Share Icon Share
- Search Site
Ragunathan, S, Frakes, D, Peng, K, Stokes, L, & Singhose, W. "Kalman Filtering for Improving Radio-Frequency Hand Motion Crane Control." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 3: Renewable Energy Systems; Robotics; Robust Control; Single Track Vehicle Dynamics and Control; Stochastic Models, Control and Algorithms in Robotics; Structure Dynamics and Smart Structures; Surgical Robotics; Tire and Suspension Systems Modeling; Vehicle Dynamics and Control; Vibration and Energy; Vibration Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 309-316. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8761
Download citation file: