Low-cost pressure sensors are used for various purposes, but it have unique properties such as hysteresis characteristics and creep characteristics. Therefore, it should be calibrated according to the purpose of use. For this purpose, a calibration device capable of applying a precise and repetitive load was generated. The core performance required for the calibration equipment is force control which can accurately apply the target load. However, since the material that contacts the end-effector of the equipment is a rigid body, it is difficult to control due to its high-speed response characteristics, so a robust and stable sliding mode force controller have to be applied. To design the sliding mode force controller of the calibration equipment, dynamic model of the system was derived, and system identification was performed. In order to improve the performance of the system identification, system model was modified by applying the nonlinear model to the system similar to the Hammerstein model. We applied a nonlinear model compensator to the system model and designed sliding mode force control. To verify the performance of the designed controller, force control was applied to static and dynamic loads. It is confirmed through the verification experiment that the proposed sliding mode force controller has sufficient control performance.
- Dynamic Systems and Control Division
Sliding Mode Control of Low Cost Pressure Sensor Calibration Device
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Lee, C, Ahn, D, Kim, S, & Gwak, K. "Sliding Mode Control of Low Cost Pressure Sensor Calibration Device." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems. Atlanta, Georgia, USA. September 30–October 3, 2018. V002T24A002. ASME. https://doi.org/10.1115/DSCC2018-9033
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