Download presentation
Presentation is loading. Please wait.
Published byUte Diefenbach Modified over 6 years ago
1
Quasi-Sliding Mode Control of Systems with Unmatched Uncertainty
S. Janardhanan
2
Overview We have already seen ‘matched’ uncertainty. In this lecture we see Unmatched Uncertainty uncertainty System Net 0
3
State based DSMC for Unmatched Uncertainty
Misawa et al had proposed a single sliding surface based SFB-DSMC control algorithm for unmatched uncertainty. See: C. Y. Tang, E. Misawa, “Discrete variable structure control for linear multivariable systems : a state feedback approach”, Proc. American Control Conference, pp , June 1998
4
Misawa’s Control The state feedback control by Misawa is of form
Which is based on a single sliding surface.
5
Where …
6
Why one sliding surface only ?
Argument : s1 0 means a close to asymptotically stable dynamics. s2 0 would also mean the same Counter – Simultaneously s1 0, s2 0 is much tighter criterion, and there is control (available) to achieve this. AND – Output is available …
7
The Logic X(0) X(k*)
8
MROF-DSMC in Unmatched Uncertainty
Basic idea : System states and sliding function are computed assuming average disturbance And control is computed as where the gains satisfy certain conditions
9
MROF-DSMC … The basic method to prove this point is yo show that the value of the sliding function s(k) decreases monotonically whenever the system state is outside a a priori known quasi-sliding mode band. For a detailed discussion see : S. Janardhanan and B. Bandyopadhyay, “Discrete-time Sliding Mode Control”, Springer-Verlag, 2005
10
The Control Law
11
Illustrative Example – Cart System
Model is 6th order, 2 input , 3 output system (possibility of 2 sliding surfaces)
12
Results – Sliding Function - SFB
13
Results- Sliding Function - MROF-DSMC
14
Results – Control Input - SFB
15
Results – Control Input – MROF-DSMC
16
Advantage - Disadvantage
As in matched – expected uncertainty band is higher than SFB . (But, may not be so in all cases during implementation) Uses all available input freedom for controller design. Uses bias in disturbance to advantage (d0 in control)
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.