Abstract
Signal processing and control are closely related. In fact, many controllers can be viewed as a special kind of signal processor that converts an exogenous input signal and a feedback signal into a control signal. Because the controller exists inside of a feedback loop, it is subject to constraints and limitations that do not apply to other signal processors. A well known example is that a stable controller in series with a stable plant can, because of the feedback, result in an unstable closed-loop system. Further constraints arise because the control signal drives a physical actuator that has limited range. The complexity of the signal processing in a control system is often quite low, as is illustrated by the Proportional + Integral + Derivative (PID) controller. Model predictive control is described as an exemplar of controllers with very demanding signal processing. ABS brakes are used to illustrate the possibilities for improved controller capability created by digital signal processing. Finally, suggestions for further reading are included.
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References
Astrom, K.J., Hagglund, T.: PID Controllers: Theory, Design, and Tuning (2nd edtion), International Society for Measurement and Control, Seattle, (1995)
Bosch: Driving Safety Systems (2nd edition), SAE International, Warrenton, (1999)
Camacho, E.F., Bordons, C.: Model Predictive Control, 2nd Edition, Springer, London, (2004)
Dorf, R.C., Bishop, R. H.: Modern Control Systems, (11th edition), Pearson Prentice-Hall, Upper Saddle River, (2008)
Franklin, G.F., Powell, J.D., Workman, M.: Digital Control of Dynamic Systems (3rd edition), Addison-Wesley, Menlo Park (1998)
Franklin, G.F., Powell, J.D., Emami-Naeini, A.: Feedback Control of Dynamic Systems (5th edition), Prentice-Hall, Upper Saddle River, (2005)
Goodwin, G.C., Graebe, S.F., Salgado, M.E.: Control System Design, Prentice-Hall, Upper Saddle River, (2001)
Hallum, C.: The magic of the drag tire. SAE Paper 942484, Presented at SAE MSEC (1994)
Hristu-Varsakelis, D., Levine, W.S.: Handbook of Networked and Embedded Control Systems, Birkhauser, Boston, (2005)
Kailath, T. Linear Systems, Prentice-Hall, Englewood Cliffs, (1980)
Khalil, H.K. Nonlinear Systems (3rd edition), Prentice-Hall, Upper Saddle River, (2001)
Kwon, W. H.,Han, S.: Receding Horizon Control: Model Predictive Control for State Models. Springer, London (2005)
Levine, W.S. (Editor): The Control Handbook (2nd edition), CRC Press, Boca Raton (2011)
Looze, D. P., Freudenberg, J. S.: Tradeoffs and limitations in feedback systems. The Control Handbook, pp 537–550, CRC Press, Boca Raton(1995)
Lublin, L., Athans, M.: Linear quadratic regulator control. The Control Handbook, pp 635–650, CRC Press, Boca Raton (1995)
Maciejowski, J. M.: Predictive control with constraints. Prentice Hall, Englewood Cliffs (2002)
Qin, S. J., Badgwell, T. A.: A survey of model predictive control technology. Control Engineering Practice,11, pp 733–764 (2003)
Rawlings, J. B.: Tutorial overview of model predictive control. IEEE Control Systems Magazine, 20(3) pp 38–52, (2000)
Rugh, W.J.: Linear System Theory (2nd edition), Prentice-Hall, Upper Saddle River, (1996)
Scokaert, P. O. M, Mayne, D. Q., Rawlings, J. B.: Suboptimal model predictive control (feasibility implies stability). IEEE Transactions on Automatic Control, 44(3) pp 648–654 (1999)
Yang, J. S., Levine, W. S.: Specification of control systems. The Control Handbook, pp 158–169, CRC Press, Boca Raton (1995)
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Levine, W.S. (2013). Signal Processing for Control. In: Bhattacharyya, S., Deprettere, E., Leupers, R., Takala, J. (eds) Handbook of Signal Processing Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6859-2_9
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