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Quasi-Sliding Mode Control of Systems with Unmatched Uncertainty

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Presentation on theme: "Quasi-Sliding Mode Control of Systems with Unmatched Uncertainty"— Presentation transcript:

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)


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