Finite-time terminal synergetic control of a class of nonlinear systems with unmatched uncertainties

Ahifar, Azadeh; Noei, Abolfazl Ranjbar; Rafiee, Zahra

doi:10.1093/imamci/dnz014

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…The task of synergetics is to control "inconsistent uncertainties" (Ahifar et al, 2020). This function involves the use of the modelling method.…”

Section: General Backgroundmentioning

confidence: 99%

Philosophical and methodological prospects for the future of synergetics in the scientific picture of the world

2022

Futurity Philosophy

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Aims: The purpose of the scientific research is to determine the formation of philosophical and methodological principles of synergetics’ peculiarities in the context of interdisciplinarity of the scientific world picture development. The interdisciplinarity is an innovative format of scientific activity that ensures the universality of scientific and cognitive activity. Philosophy traditionally acts as a kind of arbiter in life research. The study uses the traditional synergistic ideas of the scientific and philosophical community. They correlate with the principles of modern scientific and methodological discourse. At the same time, the guidelines that form a separate cluster of synergistic methodology - the innovative dimension of self-organization, namely: universality, pragmatism, dynamism. The synergetic paradigm in the philosophical interpretation is actualized in the methodological and axiological dimensions. The synergetics’ future is associated with the harmonization of theoretical and methodological as well as practical and value components. This interaction is achieved through the principles of interdisciplinarity, which determine the peculiarities of self-organization of the objects of philosophical research. Methodology: The interdisciplinarity dictates the selection of methodological tools that were used during the research. Since synergetics covers the scientific, philosophical, and cultural spheres, one used methods that allowed studying all these clusters of social activity. Synergy implies development through interaction, forming a systematic scientific picture of the world. In scientific research, it is proposed to consider synergy as a promising direction not only separately in philosophy, science, or culture, but in the context of a worldview and methodological guideline. Such positioning expands the potential of the interdisciplinary approach, updating its methodological arsenal and forming value orientations. Results: The results of the study are an understanding of the pluralism of philosophical and scientific innovations prospects and the ability of synergy to provide a variety of methodological and value components of the world picture. The philosophical and methodological guidelines of synergetics as a promising component of the scientific worldview are proposed. Scientific Novelty: A promising area of research is to provide value constants to the theoretical, methodological, and practice-oriented principles of synergetics, which have already demonstrated their effectiveness. This will create a holistic synergistic paradigm that will become a universal methodology with relevant value dimensions. Conclusion: The scientific picture of the world is a dynamic paradigm that requires new ideas and principles. The effectiveness of the scientific picture of the world determines its efficiency. The significance of the study lies in the realization of the benefits of interdisciplinary discourse and the principles of self-organization in the construction of scientific, spiritual, technological, and socio-cultural life. The inclusion of human dimensionality in synergistic constructions allows forming a universal philosophical and methodological paradigm that will meet the requirements of the time and the peculiarities of civilizational development.

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“…The task of synergetics is to control "inconsistent uncertainties" (Ahifar et al, 2020). This function involves the use of the modelling method.…”

Section: General Backgroundmentioning

confidence: 99%

Philosophical and methodological prospects for the future of synergetics in the scientific picture of the world

2022

Futurity Philosophy

View full text Add to dashboard Cite

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“…The synergetic control method is based on the principle of expansion and contraction of the controlled system state space. It can achieve the required transient performance, which is a challenging requirement for modern control of nonlinear system [26]. The control objective of this paper is to design an adaptive synergetic control algorithm for power system dynamics stabilization.…”

Section: Synergetic Control Theorymentioning

confidence: 99%

“…Moreover, adaptive control algorithms have been applied for chaos control of power systems in [24,25]. In addition, [25] applied a conventional linear manifold synergetic controller that suffers from the problem of a long convergence time to the equilibrium point, and reaching the reference signal may not be fast enough in cases that the initial conditions of the system state variables are far from the equilibrium [26].…”

Section: Introductionmentioning

confidence: 99%

“…Where it has been successfully used in many industrial applications such as power electronics, power systems, quadrotor helicopter system, grid-connected photovoltaic systems, and robotic manipulators, are all applications reported in the literature [33]. The fundamental principles of synergetic control are based on the theory of directed self-organization [26]. Synergetic control theory was first proposed by the Russian researcher Kolesnikov [32].…”

Section: Introductionmentioning

confidence: 99%

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Chaos Suppressing in a Three-Buses Power System Using an Adaptive Synergetic Control Method

et al. 2021

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The stability of the power system is a critical issue for the reliable and safe operation of the network. Where maintaining voltage levels constant or within the prescribed permissible limit and robustness against disturbances, while the power system is working near its stability margin due to growth of power consumption, nowadays are great challenges. Chaotic oscillation in power network may lead to system bus voltage collapse, angle divergence and possibly both phenomena simultaneously. These cases directly affect the service quality of the power system. The paper presents the problem of chaos suppressing in a three-bus power system of a six-dimensional model. The dynamics of the power system are investigated through examining the nonlinear system’s behavior analysis tools, such as power spectral density, bicoherence, Poincaré map and the Lyapunov exponents. The chaotic oscillation of the power system is suppressed through a Lyapunov-based adaptive algorithm with synergetic control theory. A nonlinear evolution constraint is used for achieving better transient responses and fast dynamics. The dynamics of the energy storage device and STATCOM compensator are employed within the control loop to restore the synchronous operation and maintain the rated voltage, respectively. Numerical simulations are conducted to verify the effectiveness and robustness of the proposed control algorithm. The stabilization of the chaotic power system dynamics and the fast recovery to the normal state are characterized by a smooth and free-of-chattering controller output.

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“…Hence, it is unwanted in light of implementation [11]. Regarding chattering suppression, various types of chattering prevention schemes have been suggested [12][13][14]. For instance, many authors have been designing regulators for IM based on combining SMC theory and other advanced control methods such as backstepping algorithm, adaptive method, and fuzzy technique [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Sliding Mode Speed Control for Induction Motor Drives

et al. 2022

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In this paper, an enhanced Integral Sliding Mode Control (ISMC) for mechanical speed of an Induction Motor (IM) is presented and experimentally validated. The design of the proposed controller has been done in the d-q synchronous reference frame and indirect Field Oriented Control (FOC). Global asymptotic speed tracking in the presence of model uncertainties and load torque variations has been guaranteed by using an enhanced ISMC surface. Moreover, this controller provides a faster speed convergence rate compared to the conventional ISMC and the Proportional Integral methods, and it eliminates the steady-state error. Furthermore, the chattering phenomenon is reduced by using a switching sigmoid function. The stability of the proposed controller under parameter uncertainties and load disturbances has been provided by using the Lyapunov stability theory. Finally, the performance of this control method is verified through numerical simulations and experimental tests, getting fast dynamics and good robustness for IM drives.

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Finite-time terminal synergetic control of a class of nonlinear systems with unmatched uncertainties

Cited by 9 publications

References 18 publications

Philosophical and methodological prospects for the future of synergetics in the scientific picture of the world

Philosophical and methodological prospects for the future of synergetics in the scientific picture of the world

Chaos Suppressing in a Three-Buses Power System Using an Adaptive Synergetic Control Method

An Enhanced Sliding Mode Speed Control for Induction Motor Drives

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