Page 202 - Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics
P. 202
200 Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
employed. However, many actuators used in such cryogenic systems are the
valves, which can be opened between [0,100%] only, leading to valve sat-
urations. To address the potential poor transient control response from the
valve saturations, appropriate compensation (e.g., anti-windup) should be
considered in the control design [12].
12.5 CONCLUSION
This chapter introduces the saturation dynamics and the associated mathe-
matical models; this typical hard constraint imposed on the actuators (e.g.,
actuator displacement and rate saturations) is commonly encountered in
most of physical systems. In order to address the impact of these constraints
in the closed-loop control system, we also introduce a smooth approxi-
mated model of saturation dynamics, which will be used in the control
designs to be presented in this book. By using the tanh(·) function, the
saturation dynamics can be formulated as a linear-like system with a time-
varying gain and a bounded disturbance. This new formulation allows to
incorporate it into adaptive control design and analysis.
REFERENCES
[1] M.B. Zarrop, Computer controlled systems: theory and design, 3rd ed., in: Rims
Kokyuroku, vol. 1514, 1982, pp. 59–65.
[2] Jing Zhou, Changyun Wen, Adaptive Backstepping Control of Uncertain Systems:
Nonsmooth Nonlinearities, Interactions or Time-Variations, Springer, Berlin, Heidel-
berg, 2008.
[3] Gang Tao, Petar V. Kokotovic, Adaptive Control of Systems with Actuator and Sensor
Nonlinearities, John Wiley and Sons, Inc., 1996.
[4] G. Herrmann, P.P. Menon, M.C. Turner, D.G. Bates, I. Postlethwaite, Anti-windup
synthesis for nonlinear dynamic inversion control schemes, International Journal of
Robust & Nonlinear Control 20 (13) (2010) 1465–1482.
[5] A.M. Annaswamy, S. Evesque, S.I. Niculescu, A.P. Dowling, Adaptive Control of a
Class of Time-Delay Systems in the Presence of Saturation, Springer, London, 2001.
[6] C. Bohn, D.P. Atherton, An analysis package comparing PID anti-windup strategies,
IEEE Control Systems 15 (2) (2002) 34–40.
[7] E.N. Johnson, A.J. Calise, Neural network adaptive control of systems with input sat-
uration, in: Proceedings of the American Control Conference, 2001, vol. 5, 2001,
pp. 3527–3532.
[8] R. Kosut, Design of linear systems with saturating linear control and bounded states,
IEEE Transactions on Automatic Control 28 (1) (1983) 121–124.
[9] K.S. Walgama, J. Sternby, The inherent observer property in a class of anti-windup
compensators, International Journal of Control 52 (3) (1988) 705–724.
[10] Feng Zhang, Linear parameter-varying anti-windup control for active microgravity
isolation, IFAC Proceedings Volumes 38 (1) (2005) 919–924.