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Vol: 57(71) No: 1 / March 2012 Closed Loop High-Precision Accelerometer with Smart Control T. L. Grigorie Avionics Division, University of Craiova, Faculty of Electrical Engineering, 107 Decebal Blvd., 200440 Craiova, Romania, phone: (+40) 251-436447, e-mail: lgrigore@elth.ucv.ro M. Lungu Avionics Division, University of Craiova, Faculty of Electrical Engineering, 107 Decebal Blvd., 200440 Craiova, Romania, e-mail: mlungu@elth.ucv.ro I. R. Edu Avionics Division, University of Craiova, Faculty of Electrical Engineering, 107 Decebal Blvd., 200440 Craiova, Romania, e-mail: edu_ioana_raluca@yahoo.com R. Obreja Avionics Division, University of Craiova, Faculty of Electrical Engineering, 107 Decebal Blvd., 200440 Craiova, Romania, e-mail: radu@sistemeuroteh.ro Keywords: accelerometer, precision improvement, closed-loop, control, fuzzy logic Abstract The paper presents a way to improve the transient regime of a miniature accelerometer by using a smart controller to close its loop. Firstly, the classical architecture of the accelerometer is derived, and the optimal numerical values for its parameters are estimated. The smart controller is a fuzzy controller and replaces an electronic block on the feedback path of the closed loop, block that, in the classical architecture, assured the system damping and, in the same time, played the role of elastic link of the accelerometer proof mass. For the proposed controller, proportional-derivative variant is chosen, and its input-output mapping is derived. The membership functions for inputs are s-functions, π-functions, respectively z-functions, while the output membership functions have constant values. To define the rules, a zero-order Sugeno fuzzy model is chosen. Finally, a comparative numerical study between the classical and the proposed accelerometer architectures is made. References [1] Yu Wen, Recent advances in intelligent control systems, Springer, 2009. [2] A.E. Ruano, Intelligent control systems using computational intelligence techniques, Institution of Electrical Engineers, London, United Kingdom, 2005. [3] K. M. Passino, and S. Yurkovich, Fuzzy control, Addison-Wesley, 1998. [4] A. Zilouchian, and Mo Jamshidi, Intelligent control systems using soft computing methodologies, CRC Press, 2001. [5] A.T. Moradi, Y. Kanani, B. Tousi, A. Motalebi, and G. Rezazadeh, “Studying of a tunnelling accelerometer with piezoelectric actuation and fuzzy controller”, Sensors & Transducers Journal, Vol. 89, Issue 3, pp. 17-29, 2008. [6] M. Kraft, and E. Gaura, “Intelligent control for a micromachined tunnelling accelerometer”. Proc. Int. MEMS Workshop (IMEMS), Singapore, pp. 738-742, 2001. [7] E. Gaura, and R. Newman, Smart MEMS and sensor systems, Imperial College Press, London, UK, 2006. [8] A. Hiliuţă, and T.L. Grigorie, “The optimization of a closed-loop accelerometer”. Electrical Engineering, Electronics, Automatics (EEA) Journal, No. 7-8, pp. 11-16, 2000. [9] M. Bodea, s.a., Aparate electronice pentru măsurare şi control. Editura Didactică şi Pedagogică, Bucureşti, 1985. [10] T.L. Grigorie, M. Lungu, I.R. Edu, R. Obreja, “Miniature accelerometer precision improvement using intelligent control”, Proceedings of 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), Timisoara, Romania, 19-21 May, pp. 421 – 426, 2011. [11] L.A. Zadeh, “Fuzzy sets”, Information Control, Vol. 8, pp: 339-353, 1965. [12] B. Tomescu, On the use of fuzzy logic to control paralleled dc-dc converters. Dissertation Virginia Polytechnic Institute and State University Blacksburg, Virginia, October, 2001. [13] J. Jantzen, Tuning of fuzzy PID controllers. Technical Report 98-H871, Department of Automation, Technical University of Denmark, September 1998. [14] V. Kumar, K.P.S. Rana, and V. Gupta, “Real-time performance evaluation of a fuzzy PI + fuzzy PD controller for liquid-level process”, International Journal of Inteligent Control and Systems, Vol. 13, No. 2, pp. 89-96, June 2008. [15] M. Mahfouf, D.A. Linkens, and S. Kandiah, “Fuzzy Takagi-Sugeno Kang model predictive control for process engineering”, IEE, UK, 4 pp, 1999. |