Robust Control of a MEMS Probing Device

In this paper, a systematic design based on the robust control theory is developed for a microelectromechanical systems nanopositioning/probing device. The device is fabricated on a silicon-on-insulator substrate, and provides decoupled XY motion by using a parallel kinematics mechanism design. Each axis of the device is actuated by linear comb-drives and the corresponding displacements are sensed by separate comb structures. To improve the sensing resolution, the sensing and driving combs are electrically isolated. The nonlinear dynamic model between the actuation voltage and the sensed displacement will increase the complexity of model identification and control design. We circumvent the nonlinear model by redefining the input and output (I/O) signals during the model definition and identification, which results in linear and time-invariant models. A dynamical model of the system is identified through experimental input-output frequency-domain identification. The implemented H∞ control design achieves a significant improvement over the response speed, where the bandwidths from the closed-loop sensitivity and complementary sensitivity functions, respectively, are 68 and 74 Hz. When compared to open-loop characteristics, enhancement in reliability and repeatability (robustness to uncertainties) as well as noise attenuation (by over 12%) is demonstrated through this design.

[1]  K. Glover,et al.  State-space formulae for all stabilizing controllers that satisfy and H ∞ norm bound and relations to risk sensitivity , 1988 .

[2]  Placid Mathew Ferreira,et al.  Robust Control of a Parallel- Kinematic Nanopositioner , 2008 .

[3]  John E. Dennis,et al.  Numerical methods for unconstrained optimization and nonlinear equations , 1983, Prentice Hall series in computational mathematics.

[4]  Jingyan Dong,et al.  Electrostatically Actuated Cantilever With SOI-MEMS Parallel Kinematic $XY$ Stage , 2009, Journal of Microelectromechanical Systems.

[5]  P. Khargonekar,et al.  State-space solutions to standard H/sub 2/ and H/sub infinity / control problems , 1989 .

[6]  Chibum Lee,et al.  Fast Robust Nanopositioning—A Linear-Matrix-Inequalities-Based Optimal Control Approach , 2009, IEEE/ASME Transactions on Mechatronics.

[7]  Bernhard E. Boser,et al.  Charge control of parallel-plate, electrostatic actuators and the tip-in instability , 2003 .

[8]  Murti V. Salapaka,et al.  High bandwidth nano-positioner: A robust control approach , 2002 .

[9]  E. C. Levy Complex-curve fitting , 1959, IRE Transactions on Automatic Control.

[10]  Chibum Lee,et al.  Robust broadband nanopositioning: fundamental trade-offs, analysis, and design in a two-degree-of-freedom control framework , 2009, Nanotechnology.

[11]  M.V. Salapaka,et al.  Scanning Probe Microscopy , 2008, IEEE Control Systems.

[12]  Srinivasa M. Salapaka,et al.  Design methodologies for robust nano-positioning , 2005, IEEE Transactions on Control Systems Technology.

[13]  Murti V. Salapaka,et al.  Robust control approach to atomic force microscopy , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[14]  W. Murray Numerical Methods for Unconstrained Optimization , 1975 .

[15]  Jingyan Dong,et al.  A 2 Degree-of-Freedom SOI-MEMS Translation Stage With Closed-Loop Positioning , 2012, Journal of Microelectromechanical Systems.

[16]  Santosh Devasia,et al.  A Survey of Control Issues in Nanopositioning , 2007, IEEE Transactions on Control Systems Technology.

[17]  Placid Mathew Ferreira,et al.  Simultaneous actuation and displacement sensing for electrostatic drives , 2008 .

[18]  Placid Mathew Ferreira,et al.  Design, fabrication and testing of a silicon-on-insulator (SOI) MEMS parallel kinematics XY stage , 2007 .

[19]  Jürgen Brugger,et al.  AFM imaging with an xy-micropositioner with integrated tip , 1995 .

[20]  P. Khargonekar,et al.  STATESPACE SOLUTIONS TO STANDARD 2 H AND H? CONTROL PROBLEMS , 1989 .

[21]  William C. Tang,et al.  Laterally driven polysilicon resonant microstructures , 1989, IEEE Micro Electro Mechanical Systems, , Proceedings, 'An Investigation of Micro Structures, Sensors, Actuators, Machines and Robots'.

[22]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[23]  F.L. Lewis,et al.  Open vs. Closed-Loop Control of the MEMS Electrostatic Comb Drive , 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..

[24]  Jingyan Dong,et al.  Development of a High-Bandwidth XY Nanopositioning Stage for High-Rate Micro-/Nanomanufacturing , 2011, IEEE/ASME Transactions on Mechatronics.

[25]  J. Bryzek,et al.  Integrating microelectromechanical systems with integrated circuits , 2004, IEEE Instrumentation & Measurement Magazine.