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Robust hybrid synchronization control of chaotic 3-cell CNN with uncertain parameters using smooth super twisting algorithm

Siddique Nazam, Rehman Fazal, Raoof Uzair, Iqbal Shahid, Rashad Muhammad

Bulletin of the Polish Academy of Sciences. Technical Sciences

2023

Vol. 71, nr 5

art. no. e146474

This paper presents the control design framework for the hybrid synchronization (HS) and parameter identification of the 3-Cell Cellular Neural Network. The cellular neural network (CNN) of this kind has increasing practical importance but due to its strong chaotic behavior and the presence of uncertain parameters make it difficult to design a smooth control framework. Sliding mode control (SMC) is very helpful for this kind of environment where the systems are nonlinear and have uncertain parameters and bounded disturbances. However, conventional SMC offers a dangerous chattering phenomenon, which is not acceptable in this scenario. To get chattering-free control, smooth higher-order SMC formulated on the smooth super twisting algorithm (SSTA) is proposed in this article. The stability of the sliding surface is ensured by the Lyapunov stability theory. The convergence of the error system to zero yields hybrid synchronization and the unknown parameters are computed adaptively. Finally, the results of the proposed control technique are compared with the adaptive integral sliding mode control (AISMC). Numerical simulation results validate the performance of the proposed algorithm.

Comparative study of the performance of a sliding, sliding-fuzzy type 1 and a sliding-fuzzy type 2 control of a permanent magnet synchronous machine

Herizi Abdelghafour, Rouabhi Riyadh, Zemmit Abderrahim

Przegląd Elektrotechniczny

2022

R. 98, nr 11

21--29

This paper presents a comparative study of sliding mode control, hybrid sliding type-1 fuzzy logic and hybrid sliding type-2 fuzzy logic applied on the permanent magnet synchronous machine (PMSM). We used different criteria in this comparison: qualitative, quantitative and robust during the transient and permanent operation of the system. In this article, we present a new sliding mode control strategy applied to the PMSM, this control combines sliding mode and fuzzy logic (type-1 and type-2) to find robust control. The control proposed keeping the part of the equivalent control by sliding mode and will change the part of the switching by a fuzzy controller. Simulation results with a sliding mode control, type-1 fuzzy logic controller (T1FLC) and with an interval type-2 fuzzy logic controller (IT2FLC) of a permanent magnet synchronous machine are presented. The advantage of using interval type-2 fuzzy logic controller is verified.

W artykule przedstawiono badanie porównawcze sterowania ślizgowego, hybrydowej ślizgowej logiki rozmytej typu 1 i hybrydowej ślizgowej logiki rozmytej typu 2 zastosowanej w maszynie synchronicznej z magnesami trwałymi (PMSM). W tym porównaniu zastosowaliśmy różne kryteria: jakościowe, ilościowe i solidne podczas przejściowej i stałej pracy systemu. W tym artykule przedstawiamy nową strategię sterowania trybem ślizgowym zastosowaną do PMSM, ta kontrola łączy tryb ślizgowy i logikę rozmytą (typu-1 i typu-2), aby znaleźć niezawodne sterowanie. Sterowanie zaproponowało zachowanie części sterowania równoważnego w trybie przesuwnym i zmieni część przełączania za pomocą sterownika rozmytego. Przedstawiono wyniki symulacji ze sterowaniem ślizgowym, regulatorem rozmytym typu 1 (T1FLC) oraz interwałowym regulatorem logiki rozmytej typu 2 (IT2FLC) maszyny synchronicznej z magnesami trwałymi. Sprawdzono zaletę stosowania interwałowego sterownika rozmytego typu 2.

Design of PI sliding mode control for Zeta DC-DC converter in PV system

Hasanah Rini Nur, Ardhenta Lunde, Nurwati Tri, Setyawati Onny, Sawitri Dian Retno, Suyono Hadi, Taufik Taufik

Bulletin of the Polish Academy of Sciences. Technical Sciences

2022

Vol. 70, nr 3

art. no. e140952

Solar energy has become one of the most potential alternative energies in the world. To convert solar energy into electricity, a photovoltaic (PV) system can be utilized. However, the fluctuation of sunlight intensity throughout the day greatly affects the generated energy in the PV system. A battery may be beneficial to store the generated energy for later use. A DC–DC converter is commonly exploited to produce a constant output voltage during the battery charging process. A Zeta converter is a DC–DC converter which can be used to produce output values above or below the input voltage without changing the polarity. To deal with the inherent non-linearity and time-varying properties of the converter, in this paper the sliding mode control (SMC) is first analyzed and exploited before being integrated with a proportional-integral (PI) control to regulate the output voltage of the PV system. Disturbances are given in the form of changes in input voltage, reference voltage, and load. Voltage deviation and recovery time to reach a steady-state condition of the output voltage after disturbances are investigated and compared to the results using a proportional-integral-differential (PID) controller. The results show that the proposed control design performs faster than the compared PID control method.