Name
Abstract | ||
|---|---|---|
Experimental setups involving optically levitated nanoparticles are widely used nowadays to study physical phenomena in various fields including biophysics, sensing or quantum mechanics. We focus on parametric cooling of the particle's center-of-mass motion, where the intensity of a laser beam forming an optical trap is modulated to counteract the nanoparticles motion and cools it down to temperatures in the micro-Kelvin regime. Such experimental setups require tight control of the modulation frequency and phase, and are typically prone to measurement noise in the control loop. In this paper we investigate a new approach that incorporates additional knowledge of the physical system and noise characteristics by employing a Kalman filter in the feedback loop, with the aim to improve the overall cooling performance of the experimental arrangement. We develop an accurate state estimation system that is able to control the particle's position along one motional axis. The system acquires analog measurement signals and transforms them into the digital domain to be processed by a Kalman filter running at a sample rate of 500kSample/s with single-precision floating point arithmetic. The state estimation is then converted back to the analog domain to be fed back to the experimental setup. Our closed-loop, full-system simulation confirms the proposed approach achieves cooling improvements in the order of 20%. Further, we provide preliminary experimental tests of the technique. The presented system serves as a starting point for more involved experimental analyses and cooling setups where all three motional axes are controlled via Kalman-filtered feedback signals. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SAS.2018.8336771 | 2018 IEEE Sensors Applications Symposium (SAS) |
Keywords | DocType | ISBN |
full-system simulation,preliminary experimental tests,cooling setups,motional axes,Kalman-filtered feedback signals,optically levitated nanoparticles,physical phenomena,parametric cooling,optical trap,nanoparticles motion,microKelvin regime,measurement noise,control loop,physical system,noise characteristics,feedback loop,cooling performance,motional axis,analog measurement signals,single-precision floating point arithmetic,experimental analyses,modulation frequency control,optimal state estimation system,closed-loop system,particle center-of-mass motion,laser beam forming intensity,phase control,particle position control,digital domain,analog domain | Conference | 978-1-5386-2093-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Jost | 1 | 0 | 0.34 |
| Michael Schaffner | 2 | 68 | 12.41 |
| Michele Magno | 3 | 500 | 59.74 |
| M. Korb | 4 | 0 | 0.34 |
| Luca Benini | 5 | 13116 | 1188.49 |
| R. Reimann | 6 | 0 | 0.68 |
| V. Jain | 7 | 0 | 0.34 |
| Markus H. Gross | 8 | 10154 | 549.95 |
| A. Militara | 9 | 0 | 0.34 |
| M. Frimmer | 10 | 0 | 0.68 |
| L. Novotny | 11 | 0 | 0.68 |