Scholarly record
A FUZZY LOGIC CONTROL STRUCTURE OF A MEMS ACCELEROMETER
Publication Impact Profile
- Citations
- CrossRef - Citation Indexes: 1
- Scopus - Citation Indexes: 1
- Captures
- Mendeley - Readers: 3
Publication details
References40
Titterton D.H. Strapdown inertial navigation technology (2nd Edition). IET, 2004.
Grigorie T.L., Lungu M., Edu I.R. & Obreja, R. Influences of the miniaturised inertial sensors errors on the navigation solution in a bidimensional SDINS in vertical plane, COMEC2011, 20-22 October, Brasov, Romania, 2011. 8u1 [V] 5 5.02 5.04 5.06 5.08 5.1 5.124.98 x 10-3Time [s] KD=3·10-4 KD=10·10-4 KD=7·10-4 5 5.01 5.02 5.03 5.04 5.05 5.064.99 x 10-3Time [s] 12u1 [V] a=1 g a=2 g a=4 g a=8 g -14 -12 -10 -8 -6 -4 -2 0 0.005 0.01 0.015 0.02 0.025 0.03 Time [s] Fuzzy (-u1[V]) vs. classical (u [V]) a=1 g a=5 g a=10 g u1 [V] -15 -10 -5 0 5 10 15-10 -8 -6 -4 -2 10a [g] fuzzy classical GeoConference on Nano, Bio and Green – Technologies for a Sustainable Future
Grigorie T.L. & Botez R.M. Modeling and numerical simulation of an algorithm that reduces inertial sensors errors and increases the degree of strap-down navigator redundancy in a low cost architecture. Trans. of the CSME, Vol. 34, No. 1, 2010.
Barbour N.M. Inertial Navigation Sensors, NATO RTO-EN-SET-116, 2010.
Barbour N. & Schmidt G. Inertial Sensor Technology Trends, IEEE Sensors Journal, Vol. I, No. 4, pp. 332– 339, December 2001.
Naranjo C.M. Analysis and Modeling of MEMS based Inertial Sensors, School of Electrical Engineering, Kungliga Tekniska Hgskolan, Stockholm, 2008.
Grigorie T.L., Sandu, D.G. & Aron, I. Redundancy achievement and accelerometer’s noise reduction in low -cost strap-down inertial navigation systems, ICNPAA 2006, Budapest, Hungary, June 21–23, 2006.
Wen, Y., Recent advances in intelligent control systems, Springer, 2009.
Hampel, R., Wagenknecht, M. & Chaker, N. Fuzzy Control – Theory and Practice, Physica-Verlag, 2000.
Luo, J. & Lan, E., Fuzzy Logic and Intelligent Systems - Fuzzy Logic Controllers for Aircraft Flight Control, pp. 85-124, July 07, Springer, 2007.
Ruano, A.E. Intelligent control systems using computational intelligence techniques, Institution of Electrical Engineers, London, United Kingdom, 2005.
Kovacic, Z. and Bogdan, S. Fuzzy Controller Design – Theory and Applications, Taylor and Francis Group, 2006
Moradi, A.T., Kanani, Y., Tousi, B., Motalebi, A. & Rezazadeh, G. Studying of a tunnelling accelerometer with piezoelectric actuation and fuzzy controller, Sensors & Transducers Journal, Vol. 89, Issue 3, pp. 17-29, 2008.
Kraft, M. & Gaura, E. Intelligent control for a micromachined tunnelling accelerometer. Proc. Int. MEMS Workshop (IMEMS), Singapore, pp. 738-742, 2001.
Gaura, E. & Newman, R. Smart MEMS and sensor systems, Imperial College Press, London, UK, 2006.
Grigorie, T.L., Corcau, J.I., Lungu, M., Edu, I.R. & Obreja R. Precision Improvement for a Tunneling Accelerometer by Using an Intelligent Controller to Close its Loop, CINTI 2011, November 21-22, Budapest, Hungary, 2011.
Grigorie, T.L., Lungu, M., Edu, I.R. & Obreja, R. Miniature accelerometer precision improvement using intelligent control, 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 19-21 May, Timisoara, Romania, pp. 421 – 426, 2011.
Hiliuţă, A. & Grigorie, T.L. The optimization of a closed -loop accelerometer. Electrical Engineering, Electronics, Automatics (EEA) Journal, No. 7-8, pp. 11-16, Bucharest, Romania, 2000.
Zilouchian, A. & Jamshidi, M. Intelligent control systems using soft computing methodologies, CRC Press, 2001.
Sivanandam, S.N., Sumathi, S. & Deepa, S.N. Introduction to Fuzzy Logic using MATLAB, Springer, Berlin Heidelberg, 2007.
Titterton D.H. Strapdown inertial navigation technology (2nd Edition). IET, 2004.
Grigorie T.L., Lungu M., Edu I.R. & Obreja, R. Influences of the miniaturised inertial sensors errors on the navigation solution in a bidimensional SDINS in vertical plane, COMEC2011, 20-22 October, Brasov, Romania, 2011. 8u1 [V] 5 5.02 5.04 5.06 5.08 5.1 5.124.98 x 10-3Time [s] KD=3·10-4 KD=10·10-4 KD=7·10-4 5 5.01 5.02 5.03 5.04 5.05 5.064.99 x 10-3Time [s] 12u1 [V] a=1 g a=2 g a=4 g a=8 g -14 -12 -10 -8 -6 -4 -2 0 0.005 0.01 0.015 0.02 0.025 0.03 Time [s] Fuzzy (-u1[V]) vs. classical (u [V]) a=1 g a=5 g a=10 g u1 [V] -15 -10 -5 0 5 10 15-10 -8 -6 -4 -2 10a [g] fuzzy classical GeoConference on Nano, Bio and Green – Technologies for a Sustainable Future
Grigorie T.L. & Botez R.M. Modeling and numerical simulation of an algorithm that reduces inertial sensors errors and increases the degree of strap-down navigator redundancy in a low cost architecture. Trans. of the CSME, Vol. 34, No. 1, 2010.
Barbour N.M. Inertial Navigation Sensors, NATO RTO-EN-SET-116, 2010.
Barbour N. & Schmidt G. Inertial Sensor Technology Trends, IEEE Sensors Journal, Vol. I, No. 4, pp. 332– 339, December 2001.
Naranjo C.M. Analysis and Modeling of MEMS based Inertial Sensors, School of Electrical Engineering, Kungliga Tekniska Hgskolan, Stockholm, 2008.
Grigorie T.L., Sandu, D.G. & Aron, I. Redundancy achievement and accelerometer’s noise reduction in low -cost strap-down inertial navigation systems, ICNPAA 2006, Budapest, Hungary, June 21–23, 2006.
Wen, Y., Recent advances in intelligent control systems, Springer, 2009.
Hampel, R., Wagenknecht, M. & Chaker, N. Fuzzy Control – Theory and Practice, Physica-Verlag, 2000.
Luo, J. & Lan, E., Fuzzy Logic and Intelligent Systems - Fuzzy Logic Controllers for Aircraft Flight Control, pp. 85-124, July 07, Springer, 2007.
Ruano, A.E. Intelligent control systems using computational intelligence techniques, Institution of Electrical Engineers, London, United Kingdom, 2005.
Kovacic, Z. and Bogdan, S. Fuzzy Controller Design – Theory and Applications, Taylor and Francis Group, 2006
Moradi, A.T., Kanani, Y., Tousi, B., Motalebi, A. & Rezazadeh, G. Studying of a tunnelling accelerometer with piezoelectric actuation and fuzzy controller, Sensors & Transducers Journal, Vol. 89, Issue 3, pp. 17-29, 2008.
Kraft, M. & Gaura, E. Intelligent control for a micromachined tunnelling accelerometer. Proc. Int. MEMS Workshop (IMEMS), Singapore, pp. 738-742, 2001.
Gaura, E. & Newman, R. Smart MEMS and sensor systems, Imperial College Press, London, UK, 2006.
Grigorie, T.L., Corcau, J.I., Lungu, M., Edu, I.R. & Obreja R. Precision Improvement for a Tunneling Accelerometer by Using an Intelligent Controller to Close its Loop, CINTI 2011, November 21-22, Budapest, Hungary, 2011.
Grigorie, T.L., Lungu, M., Edu, I.R. & Obreja, R. Miniature accelerometer precision improvement using intelligent control, 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 19-21 May, Timisoara, Romania, pp. 421 – 426, 2011.
Hiliuţă, A. & Grigorie, T.L. The optimization of a closed -loop accelerometer. Electrical Engineering, Electronics, Automatics (EEA) Journal, No. 7-8, pp. 11-16, Bucharest, Romania, 2000.
Zilouchian, A. & Jamshidi, M. Intelligent control systems using soft computing methodologies, CRC Press, 2001.
Sivanandam, S.N., Sumathi, S. & Deepa, S.N. Introduction to Fuzzy Logic using MATLAB, Springer, Berlin Heidelberg, 2007.
Citing literature
Number of times cited according to Crossref: 1
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.