Abstract
The magnetic field of a moving piston can be used for realtime estimation of its position. Piston position estimation is useful for a number of automation and performance improvement applications in hydraulic actuators, pneumatic cylinders, and I.C. engines. A significant challenge to magnetic field based position estimation comes from disturbances due to unexpected ferromagnetic objects coming close to the sensors. This paper develops a new disturbance estimation method based on modeling the magnetic disturbance as a dipole with unknown location and magnitude. A Truncated Interval Unscented Kalman Filter (TIUKF) is used to estimate all the parameters of this unknown dipole. Experimental data from a pneumatic actuator is used to verify the performance of the developed estimator. Experimental results show that the developed estimator is significantly superior to a linear magnetic field model based disturbance estimator.
| Original language | English (US) |
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| Title of host publication | Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation |
| Publisher | American Society of Mechanical Engineers |
| Volume | 1 |
| ISBN (Electronic) | 9780791850695 |
| DOIs | |
| State | Published - Jan 1 2016 |
| Event | ASME 2016 Dynamic Systems and Control Conference, DSCC 2016 - Minneapolis, United States Duration: Oct 12 2016 → Oct 14 2016 |
Other
| Other | ASME 2016 Dynamic Systems and Control Conference, DSCC 2016 |
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| Country/Territory | United States |
| City | Minneapolis |
| Period | 10/12/16 → 10/14/16 |