Control of SVC based on the sliding mode control method

Köse, Ercan; Kizmaz, Hakan; Abacı, Kadir; Aksoy, Saadettin

doi:10.3906/elk-1209-8

Cited by 9 publications

(10 citation statements)

References 33 publications

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“…Initial eigenvalues of 1 = 22.8277, 2 = −11.8277, and 3 = 2.6667 were chosen for the adaptive pole placement system design. Using (14) adaptive pole placement method was improved as shown in Figure 10.…”

Section: Numerical Simulationmentioning

confidence: 99%

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Comparative Controlling of the Lorenz Chaotic System Using the SMC and APP Methods

Köse

Mühürcü

2018

Mathematical Problems in Engineering

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The Lorenz chaotic system is based on a nonlinear behavior and this causes the system to be unstable. Therefore, two different controller models were developed and named as the adaptive pole placement and sliding mode control (SMC) methods for the establishment of continuous time nonlinear Lorenz chaotic system. In order to achieve this, an improved controller structure was developed first theoretically for both the controller methods and then tested practically using the numerical samples. During the establishment of adaptive pole placement method for the Lorenz chaotic system, various stages were applied. The nonlinear chaotic system was also linearized by means of Taylor Series expansion processes. In addition, the feedback matrix of the adaptive pole placement method was determined using linear Jacobian matrix. The chaotic system reached an equilibrium point by using both the SMC and adaptive pole placement methods; however the simulation results of the SMC had better success than adaptive pole placement control technique.

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Section: Numerical Simulationmentioning

confidence: 99%

“…The most important problem in these systems is chattering which is caused by fast switching. Switching functions such as relay, sigmoid, saturation, hysteresis-saturation, and hyperbolic functions could be used to reduce the chattering level [13,14].…”

Section: Introductionmentioning

confidence: 99%

Comparative Controlling of the Lorenz Chaotic System Using the SMC and APP Methods

Köse

Mühürcü

2018

Mathematical Problems in Engineering

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“…The goal of this work is to include the fractional components in the SVC mathematical model [18]. In order to modify the conventional design of TCR-FC type SVC, the fractional order inductor and capacitor are used to analyze and improve the system performance.…”

Section: Mathematical Model Of Fractional Svc-based Power Systemmentioning

confidence: 99%

“…For the integer type of SVC-based power system, the expression of the susceptance is expressed as [18].…”

Section: Mathematical Model Of Fractional Svc-based Power Systemmentioning

confidence: 99%

“…In the above cited work, the authors proposed several control techniques such as adaptive backstepping, fuzzy logic; Lyapunovbased nonlinear controller and the H∞ Control. In [18], the authors have proposed robust variable structure control system for the SVC-based power system. An important issue in the design of any control system is how to select the optimal parameters.…”

Section: Introductionmentioning

confidence: 99%

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Static Var Compensator with Fractional Order Dynamics for Enhanced Stability and Control

Ullah¹,

Anwar²,

Ali³

et al. 2018

Recent Developments in Power Applications on Sliding Mode Control (SMC) [Working Title]

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This chapter presents a new theoretical approach for a novel static Var compensator (SVC) system using fractional order calculus. The thyristor-controlled reactor (TCR) and fixed capacitor are assumed to be noninteger. A state space model is derived for the fractional SVC and a novel fractional order sliding surface is proposed, based on which a fractional order controller is derived for bus voltage stabilization with variable loading. Keeping in view the enhanced stability margins of the system, the parameters of the control system are optimized using Simulink response optimization toolbox. The stability and the convergence proof of the control system is verified using fractional order Lyapunov theorem. The effectiveness of the proposed control scheme is verified using numerical simulations.

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