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PERFORMANCE ANALYSIS OF DIGITAL SLIDING MODE
CONTROLLED INVERTERS
A. Fort
1
, M. Di Marco
1
, M. Mugnaini
1
, L. Santi
1
, V. Vignoli
1
and E. Simoni
2
1
Dept of Information Engineering (DII), University of Siena, Via Roma 56, 53100, Siena, Italy
2
Borri SpA Industrial Power Solutions, Bibbiena (Arezzo), Italy
Keywords: Inverter, Sliding Mode Control, Sensitivity Analysis.
Abstract: This paper presents an analysis about the performance of bang-bang controllers used on a static machine for
energy conversion (inverter) showing their robustness with respect to some key parameters and to some
operating conditions. In particular a quasi sliding mode solution is proposed supported by sensitivity
analysis able to allow the choice of proper operative parameters set for in field testing. Moreover a
comparison between two different sliding surfaces proposal is presented.
1 INTRODUCTION
The problem of designing robust control solutions is
a well known and discussed topic present in the
literature both considering continuous (Tan, Lai and
Tse, 2012; Young, Utkin and Özgüner, 1999) as well
as discrete formulations (Gao, Wang and Homaifa,
1995; Jung, Dai and A. Keyhani, 2004; Marwali,
2004). Actually there are several papers which dealt
with the use of such controllers in the discrete time
domain applied to static conversion machines as
inverters (Jung et al., 2004; Marwali, 2004; Wong,
Leung and Tam, 1999; Gao, 1990; Hung, Gao and
Hung, 1993; Gao and Hung, 1993). Taking into
account, for example, the work of Wong et al.
(1999), such approach is limited to the application of
a solution without showing its characteristics of
robustness according to the requirements of market
regulation. Usually typical inverter static and
dynamic tests are not carried out, limiting the
possibility to argue on the effectiveness of the
control strategy on actual machine implementation.
Moreover in several works as in (Gao et al., 1995)
the behavior of the selected sliding surface is not
addressed in terms of sensitivity performance nor its
behavior for commercial employment is somehow
discussed. Starting from this points, the authors tried
to compare two control solutions based on quasi
sliding mode controllers (QSMCs) according to
some peculiar usage characteristics that are well
known in the inverter market with the final aim of
assessing some rule of thumb for the selection of the
QSMCs parameters. Actually as declared by Tan et
al. (2012) even if some works exist assessing the
performance characteristics of non linear control
systems applied to static machines, they are not
focused on the design aspects and limited to some
performance parameters. Such works of course are
useful for the industrial side because provide a path
which allow to exploit such proposal and control
strategies in real life and not only from an academic
standpoint even if some implementation aspects still
are lacking. Some others among such papers as (Tan
et al, 2012; Gao et al., 1995; Wong et al., 1999)
stress instead the accent on the importance to keep
constant, or set opportunely, the switching frequency
of the controller to improve performance or try to set
the roadmaps for correct controller switching.
Nevertheless most of these works are focused on the
design of continuous time controllers which are
likely not to be employed in everyday world. So,
starting from the work of Gao et al. (1995) and from
the one proposed by Wong et al. (1999) the authors
compared the performance of a discrete time QSMC
with an extended version proposed relying on a
higher order state description of the system of
interest which seems to better fit both the market and
designers requirements. The performance taken into
account are the ones usually considered in the
inverter market. Comments have been also carried
out considering the behaviour of a general sample
static machine in terms of sensitivity analysis with
respect to some key parameters as switching
221
Fort A., Di Marco M., Mugnaini M., Santi L., Vignoli V. and Simoni E..
PERFORMANCE ANALYSIS OF DIGITAL SLIDING MODE CONTROLLED INVERTERS.
DOI: 10.5220/0003974602210225
In Proceedings of the 1st International Conference on Smart Grids and Green IT Systems (SMARTGREENS-2012), pages 221-225
ISBN: 978-989-8565-09-9
Copyright
c
2012 SCITEPRESS (Science and Technology Publications, Lda.)