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Variable-structure systems and sliding-mode control
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Studies in Systems, Decision and Control 271
Martin Steinberger
Martin Horn
Leonid Fridman Editors
Variable-Structure
Systems and
Sliding-Mode
Control
From Theory to Practice
Studies in Systems, Decision and Control
Volume 271
Series Editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
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Martin Steinberger • Martin Horn •
Leonid Fridman
Editors
Variable-Structure Systems
and Sliding-Mode Control
From Theory to Practice
123
Editors
Martin Steinberger
Institute of Automation and Control
Graz University of Technology
Graz, Austria
Martin Horn
Institute of Automation and Control
Graz University of Technology
Graz, Austria
Leonid Fridman
Control Engineering and Robotics
Department
National Autonomous University of Mexico
Mexico City, Distrito Federal, Mexico
ISSN 2198-4182 ISSN 2198-4190 (electronic)
Studies in Systems, Decision and Control
ISBN 978-3-030-36620-9 ISBN 978-3-030-36621-6 (eBook)
https://doi.org/10.1007/978-3-030-36621-6
MATLAB®, Simulink®, Stateflow® and Simscape Electrical™ (formerly SimPowerSystems™ and
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© Springer Nature Switzerland AG 2020
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Dedicated to
Stefanie, Georg and Klemens
Astrid, Ilona and Lorenz
and Millie
Preface
Variable-structure systems (VSS) and sliding-mode control (SMC) and observation
are known to be one of the most efficient robust control and observer design
techniques. Especially the ability to completely reject matched perturbations, i.e.,
perturbations that act in the input channels, is a stand-alone feature of these
approaches compared to other robust methods.
In the last years, research was pushed further leading to new algorithms and
important extensions of existing methods and more and more applications exploit
the nice properties of sliding-mode techniques. This was also evident at the 15th
International Workshop on Variable Structure Systems and Sliding Mode Control
(VSS 2018) which was held at Graz University of Technology, Austria. The conference featured five sessions focusing on sliding-mode theory and four sessions on
applications based on submissions from 30 countries.
The present book covers theoretical and practical aspects related to VSS and
SMC. It is divided into four parts comprising 14 self-contained chapters that allow
separate reading in any preferred order.
The first part introduces New HOSM Algorithms. New homogeneous controllers
obtained by means of a recursive procedure for any relative degree of the system are
proposed. The controllers are accompanied by new filtering sliding-mode-based
differentiators. In addition, discontinuous integral control for systems with arbitrary
relative degree capable of tracking smooth but unknown reference signals under the
presence of Lipschitz continuous perturbations is presented.
Part II addresses Properties of Continuous Sliding-Mode Algorithms such as the
computation and estimation of the reaching time of the super-twisting algorithm and
two chapters dealing with the issue of constrained sliding-mode control, which is
inevitable for real-world implementations. Also, an analysis of the orbital stability of
self-excited periodic motions in a Lure system as well as a comparison of the
chattering using continuous and discontinuous sliding-mode controllers is treated.
Part III covers the Usage of VSS Controllers for Solving Other Control
Problems. Sliding-mode stabilization of SISO bilinear systems with delays is
considered where Volterra operator theory is exploited to perform stability and
robustness analysis. After that, a comparison of classical results and recent methods
vii
using integral and HOSM is carried out in the next chapter in order to investigate
their ability to compensate for unmatched disturbances.
The last part of the book is dedicated to Applications of VSS. Three chapters
related to power electronics show the capability of sliding-mode techniques in this
field. First, a grid-connected shunt active LCL control via continuous SMC and
HOSM control techniques is presented. After that, the robust distributed secondary
control of islanded inverter-based microgrids as well as local and wide-area
sliding-mode observers in power systems is investigated.
The last two chapters deal with the application of sliding-mode-based methods
for vehicle platooning, i.e., the task to form tight vehicle formations on one lane on
a highway, and an application to a single-loop integrated guidance and control
intercept strategy that makes use of HOSM control.
Enjoy reading!
Graz, Austria Martin Steinberger
Graz, Austria Martin Horn
Mexico City, Mexico
July 2019
Leonid Fridman
viii Preface
Acknowledgements
We gratefully acknowledge the financial support of (i) the Christian Doppler
Research Association, the Austrian Federal Ministry for Digital and Economic Affairs
and the National Foundation for Research, Technology and Development;
(ii) CONACYT (Consejo Nacional de Ciencia y Tecnologia) grant 282013;
PAPIIT-UNAM (Programa de Apoyo a Proyectos de Investigación e Innovación
Tecnológica) grant IN 115419; and (iii) the European Union’s Horizon 2020 research
and innovation programme under the Marie Skłodowska-Curie grant agreement
No 734832.
Graz, Austria Martin Steinberger
Graz, Austria Martin Horn
Mexico City, Mexico Leonid Fridman
ix
Contents
Part I New HOSM Algorithms
1 New Homogeneous Controllers and Differentiators............. 3
Avi Hanan, Adam Jbara and Arie Levant
2 Discontinuous Integral Control for Systems with Arbitrary
Relative Degree ........................................ 29
Jaime A. Moreno, Emmanuel Cruz-Zavala and Ángel Mercado-Uribe
Part II Properties of Continuous Sliding-Mode Algorithms
3 Computing and Estimating the Reaching Time
of the Super-Twisting Algorithm .......................... 73
Richard Seeber
4 Saturated Feedback Control Using Different Higher-Order
Sliding-Mode Algorithms ................................ 125
Mohammad Ali Golkani, Stefan Koch, Markus Reichhartinger,
Martin Horn and Leonid Fridman
5 Constrained Sliding-Mode Control: A Survey ................ 149
Massimo Zambelli and Antonella Ferrara
6 Analysis of Orbital Stability of Self-excited Periodic Motions
in Lure System ........................................ 177
Igor Boiko
7 Chattering Comparison Between Continuous and Discontinuous
Sliding-Mode Controllers ................................ 197
Ulises Pérez-Ventura and Leonid Fridman
xi
Part III Usage of VSS Controllers for Solving Other Control
Problems
8 Sliding-Mode Stabilization of SISO Bilinear Systems
with Delays ........................................... 215
Tonametl Sanchez, Andrey Polyakov, Jean-Pierre Richard
and Denis Efimov
9 Compensation of Unmatched Disturbances via Sliding-Mode
Control .............................................. 237
Kai Wulff, Tobias Posielek and Johann Reger
Part IV Applications of VSS
10 Grid-Connected Shunt Active LCL Control via Continuous SMC
and HOSMC Techniques ................................ 275
Mohamad A. E. Alali, Yuri. B. Shtessel and Jean-Pierre Barbot
11 On the Robust Distributed Secondary Control of Islanded
Inverter-Based Microgrids ............................... 309
Alessandro Pilloni, Milad Gholami, Alessandro Pisano and Elio Usai
12 Local and Wide-Area Sliding-Mode Observers
in Power Systems ...................................... 359
Gianmario Rinaldi, Prathyush P. Menon, Christopher Edwards
and Antonella Ferrara
13 Sliding-Mode-Based Platooning: Theory and Applications ....... 393
Astrid Rupp, Martin Steinberger and Martin Horn
14 Single-Loop Integrated Guidance and Control Using High-Order
Sliding-Mode Control ................................... 433
Michael A. Cross and Yuri B. Shtessel
xii Contents
Nomenclature
N The natural numbers
R The field of real numbers
C The field of complex numbers
Re[z] The real part of the complex number z
Im[z] The imaginary part of the complex number z
R þ The set of strictly positive real numbers
Rnm The set of real matrices with n rows and m columns
jaj The absolute values of the real (or complex) number a
signðÞ The signum function
AT The transpose of the matrix A
detðAÞ The determinant of the square matrix A
A1 The inverse of the square matrix A
A þ The (left) pseudo-inverse of the matrix A
rankðAÞ The rank of the matrix A
kðAÞ The spectrum of the square matrix A; i.e., the set of eigenvalues
kmaxðAÞ The largest eigenvalue of the square matrix A
kminðAÞ The smallest eigenvalue of the square matrix A
RðAÞ The range space of the matrix A (viewed as a linear operator)
NðAÞ The null space of the matrix A (viewed as a linear operator)
In The n n identity matrix
A [0 The square matrix A is symmetric positive definite
A [B The square matrix A B is symmetric positive definite
k k Euclidean norm for vectors and the spectral norm for matrices
xðnÞ n-th derivative of the variable x with respect to time
Equivalent to
Cartesian product
? Orthogonal complement
:¼ Equal to by definition
xiii
Part I
New HOSM Algorithms
Chapter 1
New Homogeneous Controllers
and Differentiators
Avi Hanan, Adam Jbara and Arie Levant
Abstract Unlimited number of new homogeneous output regulators are produced
by means of a recursive procedure in the form of control templates. The templates
are valid for any relative degree of the system, any homogeneity degree and include a
number of parameters to be found recursively by simulation. In particular, infinitely
many new sliding-mode (SM) controllers are produced. The controllers are accompanied by new filtering SM-based differentiators which are exact in the absence of
noises, robust, and asymptotically optimal in the presence of bounded noises, and
filter out unbounded noises of small average values.
1.1 Introduction
Sliding-mode (SM) control (SMC) [24, 27, 70, 71, 78] remains one of the main
approaches to control uncertain systems. The idea is to suppress the uncertainty by
exactly keeping a proper output σ (the sliding variable) at zero.
Due to the uncertainty of the system, one does not know the exact control which
would accomplish the task. The solution is to keep σ ≡ 0 by applying a sufficient
control effort each time a deviation of σ from zero is detected. It results in the
infinite-frequency switching of control. The corresponding motion is called SM.
The high-frequency control switching generates undesirable system vibrations
called chattering effect [8, 12, 16, 33, 78]. Another restriction of the classical SMC
[27, 78] is the requirement that the control explicitly appear already in σ˙.
In the following, we restrict ourselves to scalar sliding variables σ ∈ R. Introduce
the notation
A. Hanan · A. Jbara · A. Levant (B)
Applied Mathematics Department, Tel-Aviv University, 6997801 Tel Aviv, Israel
e-mail: [email protected]
A. Hanan
e-mail: [email protected]
A. Jbara
e-mail: [email protected]
© Springer Nature Switzerland AG 2020
M. Steinberger et al. (eds.), Variable-Structure Systems and Sliding-Mode Control,
Studies in Systems, Decision and Control 271,
https://doi.org/10.1007/978-3-030-36621-6_1
3
4 A. Hanan et al.
σk = (σ, σ˙,..., σ(k)
)
T , k ∈ N.
The appearance of the control in σ˙ means that the relative degree r [37] of the sliding
variable σ is 1, and the SMC keeps σr−1 = (σ) at zero.
Both described restrictions are connected. Indeed, the discontinuity of σ˙ due to the
control switching exaggerates the chattering of σ [48] and diminishes the accuracy
of the SM [43]. In the case when r > 1, the discontinuous control appears in σ(r)
and one usually introduces the auxiliary variable
Σ = βT σr−1, β = (β0,..., βr−2, 1)
T ∈ Rr
of the relative degree 1. Unfortunately, keeping Σ ≡ 0 by discontinuous control
results in the same vibration magnitude level [75] of all the components of σr−1
and prevents the establishment of σ ≡ 0 in finite time (FT). It still diminishes the
vibration energy (i.e., the chattering [48]) of lower derivatives.
High-order SMs (HOSMs) were introduced to deal with the restrictions of the
relative degree and the chattering, and to improve the accuracy of keeping σ = 0.
The corresponding rth-order SM (r-SM) controllers establish the equality σr−1 ≡ 0
in FT by means of discontinuous control. It potentially improves the accuracy of
keeping σ = 0 [43] and can significantly diminish the chattering by moving the
highest chattering level to σ(r−1) [9, 48]. The HOSM approach has become popular
in the last two decades [3, 10, 18, 20, 22, 25, 28, 32, 35, 41, 42, 60, 62, 65–69, 72,
74, 81] to mention just a few publications.
Establishing the r-SM σr−1 ≡ 0 does not automatically improve the SM accuracy
[43, 75]. In particular, such improvement is attained by the homogeneity approach
[45, 46] and its modifications, but other methods are also possible [1, 77].
This paper deals with the homogeneity-based stabilization of σ. For that end
one intentionally increases system uncertainty reducing the output dynamics to an
autonomous differential inclusion (DI) of the form σ(r) ∈ H(σr−1) + G(σr−1)u. The
homogeneity theory [7, 13–15, 38, 46, 63] is further applied to make σ vanish in
FT or asymptotically.
We present a simple, effective method of general homogeneous feedback stabilization of such DIs. The method does not require validation by complicated Lyapunovstability analysis. The generated controllers contain a number of parameters to usually
be found by experiment, and therefore we call them control templates. We demonstrate the technique by designing a completely new family of controllers valid for any
relative degree r, and any possible homogeneity degree including positive, negative,
and zero values.
The approach naturally requires estimating the derivatives σr−1 in real time. Moreover, the exact nth-order differentiation problem can itself be reformulated as FT
stabilizing the output σ = z − f (t) of the auxiliary control system z(n+1) = u. The
differentiation problem lies in the core of the observation methods [6, 31]. SM observation and differentiation always were a significant part of SMC research [24, 34,
71, 76, 79, 82].