Abstract
This section describes the design and implementation of automatic controller tuning and model reference adaptive control (MRAC) to improve part quality in stamping and extends previous work on a manually-tuned fixed-gain process controller. Automatic tuning is described with a discussion of implementation issues in the presence of plant disturbances. Design of a direct MRAC, whose controller gains are continuously adjusted to accommodate changes in process dynamics and disturbances, is investigated, including simulation-based robustness analysis of the adaptation law and a consideration of constrained estimation in the recursive least squares algorithm to address practical implementation issues. The performance of the MRAC process controller designed through simulation is experimentally validated. Good tracking of the reference process variable (i.e., punch force), and significant part quality improvement in the presence of disturbances, is achieved.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ardalan, S.H., Adali, T., (1989). Sensitivity Analysis of Transversal RLS Algorithms with Correlated Inputs. IEEE Inter. Symposium on Circuits and Systems, Vol. 3, pp. 1744–1747.
Astrom, K.J., Hagglund, T., Hang, C.C., Ho, W.K., (1993). Automatic Tuning and Adaptation for PID Controller. Control Engineering and Practice, Vol. 1, No. 4, pp. 699–714.
Astrom, K.J. and Wittenmark, B., (1995). Adaptive Control. Prentice Hall, 2nd edition.
Boling, J.M., Seborg, D.E., Hespanha, J.P., (2007). Multi-model adaptive control of a simulated pH neutralization process. Control Engineering Practice, Vol. 15, Issue 6, Special Section on Control Applications in Marine Systems–CAMS2004, Control Applications in Marine Systems, June 2007, pp. 663–672.
Cao, J. and Boyce, M.C., (1997). A Predictive Tool for Delaying Wrinkling and Tearing Failure in Sheet Metal Forming. J. of Eng. Materials and Technology, Vol. 119.
Chia, T.L., Chow, P.-C., Chizeck, H.J., (1991). Recursive Parameter Identification of Constrained Systems: An Application to Electrically Stimulated Muscle. IEEE Trans. Biomed. Eng., 38, pp. 429–442.
Devasia, S., (2002). Should Model-Based Inverse Inputs Be Used as Feedforward Under Plant Uncertainty?. IEEE Trans. on Automatic Control, Vol. 47, No. 11, pp. 1865–1871.
Doege, E., Schmidt-Jurgensen, R., Huinink, S., Yun, J.-W, (2003). Development of an optical sensor for the measurement of the material flow in deep drawing processes. CIRP Annals–Manufacturing Technology, Vol 52, n1, pp. 225–228.
Goodwin, G.C. and Sin, K.W., (1984). Adaptive Filtering, Prediction, and Control. Prentice-Hall: Englewood Cliffs, NJ., pp. 91–94.
Hardt, D.E., (1993). Modeling and Control of Manufacturing Processes: Getting More Involved. ASME Journal of Dyn. Systems, Meas., and Control, Vol. 115, pp. 291–300.
Hsu, C.W., Ulsoy, A.G., Demeri, M.Y., (2000). An Approach for Modeling Sheet Metal Forming for Process Controller Design. ASME J. Manuf. Sci. Eng., 122, pp. 717–724.
Hsu, C.W., Ulsoy, A.G., Demeri, M.Y., (2002). “Development of process control in sheet metal forming,” J. of Materials Proc. Tech., Vol. 127, pp. 361–368.
Ioannou, P.A. and Sun, J., (1996). Robust Adaptive Control. New Jersey: Prentice-Hall.
Karimi, A., Butcher, M., Longchamp, R., (2008). Model-Free Pre-compensator Tuning Based on the Correlation Approach. IEEE Trans. on Control Systems Tech., Vol. 16, pp. 1013–1020.
Lauderbaugh, L.K. and Ulsoy, A.G., (1989). Model Reference Adaptive Control in Milling. ASME J. of Eng. for Ind., Vol. 111, pp. 13–21.
Lim, Y.S., (2010). MIMO Adaptive Process Control in Stamping Using Punch Force. PhD Dissertation, University of Michigan, Ann Arbor, Michigan.
Lim, Y.S., Venugopal, R., Ulsoy, A.G., (2009). Improved Part Quality in Stamping Using Multi-Input Multi-Output Process Control. Proceedings of American Control Conference, Saint Louis, MO, USA, June 10–12, 2009, pp. 5570–5575.
Lim, Y.S., Venugopal, R., Ulsoy, A.G., (2010). Multi-Input Multi-Output Modeling and Control for Stamping. ASME J. of Dyn. Systems, Meas., and Control, Vol. 132, Issue 4, 041004 (12 pages).
Rupp, D. and Guzzella, L., (2010). Adaptive internal model control with application to fueling control. Control Engineering Practice, Vol. 18, Issue 8, pp. 873–881.
Sheng, Z., Jirathearanat, S., Altan, T., (2004). Adaptive FEM Simulation for Prediction of Variable Blank Holder Force in Conical Cup Drawing. International Journal of Machine Tool and Manufacture, 44, pp. 487–494.
Siegert, K., Ziegler, M., Wagner, S., (1997). Loop Control of the Friction Force: Deep drawing process. J. of Materials Proc. Tech., Vol. 71, pp. 126–133.
Tomizuka, M., (1987). Zero Phase Error Tracking Algorithm for Digital Control. ASME J. of Dynamic Systems, Measurement, and Control, Vol. 109, pp. 65–68.
Tsai, Ching-Chih, Lin, Shui-Chun, Wang, Tai-Yu, Teng, Fei-Jen, (2009). Stochastic model reference predictive temperature control with integral action for an industrial oil-cooling process. Control Engineering Practice, Vol. 17, Issue 2, pp. 302–310.
Yagami, T., Manabe, K., Yang, M., Koyama, H., (2004). Intelligent Sheet Stamping Process Using Segment Blank Holder Modules. J. of Mat. Proc. Tech., Vol. 155–156, pp. 2099–2105.
Ziegler, J.G. and Nichols, G.A., (1942). Optimum Settings for Automatic Controllers,Trans. ASME 64, pp. 759–768.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer-Verlag London
About this chapter
Cite this chapter
Lim, Y., Venugopal, R., Ulsoy, A.G. (2014). Auto-Tuning and Adaptive Control. In: Process Control for Sheet-Metal Stamping. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-6284-1_7
Download citation
DOI: https://doi.org/10.1007/978-1-4471-6284-1_7
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-6283-4
Online ISBN: 978-1-4471-6284-1
eBook Packages: EngineeringEngineering (R0)