This article presents a computationally intensive adaptive trajectory tracking control algorithm for dynamic control of nanopositioning and nanomeasuring machines. To realize the required high sample rate of the control algorithm, an embedded multiprocessor architecture has been chosen as development target. The model-oriented development approach studied here aims to narrow the gap between the control system design environment MATLAB/Simulink® and the actual distributed implementation on the custom platform by introducing a custom code generation target intending the utilization of automatic code generation facilities.
HausotteT.Nanopositioning and nanomeasuring machine (in German) Dissertation, Technische Universität Ilmenau, 2002.
2.
HausotteT.JägerG.ManskeE.SawodnyO.‘Control system of a nanopositioning and nanomeasuring machine.’ In Proceedings of the 9th International Conference on New Actuators, Bremen, Germany, 2005.
3.
Armstrong-HéouvryB.DupontP.DeC.‘A survey of models, analysis tools and compensation methods for control of machines with friction.’Automatica30 (7) (1994): 1083–1138
4.
HenzingerT. A.SifakisJ.‘The discipline of embedded systems design.’Computer40 (10) (2007): 32–40
5.
KalmanR. E.‘A new approach to linear filtering and prediction problems.’Trans. ASME, J. Basic Engng82 (1960): pp. 35–45
6.
RamasubramaniamA.RayL. R.‘Friction cancellation in flexible systems using extended Kalman-Bucy filtering.’ In Proceedings of the 2003 American Control Conference, Denver, Colorado, USA, 2003, pp. 1062–1067.
7.
RamasubramaniamA.RayL. R.‘Stability and performance analysis of non-model-based friction estimators.’In Proceedings of Conference on Decision and control, Orlando, Florida, USA, 2001, pp. 2929–2935.
RegerJ.Sira-RamirezH. J.FliessM.‘On non-asymptotic observation of nonlinear systems.’In Proceedings of IEEE International Conference on Decision and control, Sevilla, Spain, 2005.
10.
ZehetnerJ.RegerJ.HornM.‘Realtime implementation of an algebraic derivative estimation scheme.’Automatisierungstechnik 55. (2007).
11.
PfeifferF.JohanniR.‘A concept for manipulator trajectory planning.’IEEE J. Robotics Automation3 (2) (1987): 115–123
12.
SawodnyO.AschemannH.LahresS.‘An automated gantry crane as a large workspace robot.’Control Engng Practice10 (2002): 1323–1338
13.
Object Management Group. ‘OMG Systems Modeling Language (OMG SysMLTM), V1.0. [Online].’ Available from: http://www.omg.org/spec/SysML/1.0/PDF (accessed 17.11.2008).
14.
FenglerW.DäneB.DuridanovaV.‘Design methodology for an embedded system for high-performance computing.’ In Real-time programming 2003, Proceedings of WRTP 2003, 14–17 May 2003, Lagow, Poland (Eds ColnaricM.AdamskiM.WegrzynM.), 2003, pp. 99–104 (Elsevier, Oxford).
15.
‘C6713 Board Revision 2.0 Technical Data Sheet Document Revision 1.1.’ D.SignT Digital Signalprocessing Technology GbR, Kerken, Germany, September 2004.
16.
DahnounN.Digital signal processing implementation using the TMS320C6000 DSP platform. (Prentice Hall, Old Jappan, New Jersey.2000)
17.
DäneB.BergerF.‘A multiprocessor DSP system for a high throughput control application. EDERS-2004.’ The European DSP Education and Research Symposium, Birmingham, UK, 16 November 2004.
