Optimized TSMC Control Based MPPT for PV System under Variable Atmospheric Conditions Using PSO Algorithm

Lamzouri, F-E.; Boufounas, E-M.; Brahmi, Abdenabi; Amrani, Aumeur El

doi:10.1016/j.procs.2020.03.116

Cited by 19 publications

(7 citation statements)

References 13 publications

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“…Using the uncertainty switching control low is the best method to control the dynamic parameters of sliding mode [22] :…”

Section: Design Of Mathematical Model Of Smcmentioning

confidence: 99%

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Design Stable Controller for PUMA 560 Robot with PID and Sliding Mode Controller Based on PSO Algorithm

Akkar¹,

Haddad²

2020

IJIES

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The most significant challenge facing the researcher in the field of robotics is to control the robot manipulator with appropriate overall performance. This paper focuses mainly on the novel Intelligent Particle Swarm Optimization (PSO) algorithm that was used for optimizing and tuning the gain of conventional Proportional Integral Derivative (PID), and improve the parameters of dynamic design in Sliding Mode Control (SMC), which is considered a strong nonlinear controller for controlling highly nonlinear systems, particularly for multi-degree serial link robot manipulator. Additional modified Integral Sliding Mode Controller (ISMC) was implemented to the design of dynamic system with high control theory of sliding mode controller. Intelligent Particle Swarm Optimization (PSO) algorithm was introduced for developing the nonlinear controller. The algorithm demonstrates superior performance in determining the appropriate gains and parameters value in harmony with robot scheme dynamic layout in order to achieve suitable and stable nonlinear controller, besides reduce the chattering phenomenon. PUMA robot manipulator that was used as study case in this work, shows perfect result in step response, with acceptable steady state, and overshoot, besides, eliminating the disadvantage of chattering in conventional SMC. Matlab / Simulink presents to increase the speed of matrix calculation in forward, inverse kinematics and dynamic model of manipulator. Comparison was made between the proposed method with existing methods. Result shows that integral sliding mode with PSO (ISMC/PSO) gave best result for stable step response, minimum mean square error with best objective function, and stable torque.

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“…Using the uncertainty switching control low is the best method to control the dynamic parameters of sliding mode [22] :…”

Section: Design Of Mathematical Model Of Smcmentioning

confidence: 99%

“…(46) and Eq. (47) two parameters ( , ) have to be adjusted in the SMC design , if these parameters are correctly modified, the controller will reject external disturbances affecting the tracking trajectory and increase the torque of the robot joints [21,22]. Fig.…”

Section: Design Of Mathematical Model Of Smcmentioning

confidence: 99%

Design Stable Controller for PUMA 560 Robot with PID and Sliding Mode Controller Based on PSO Algorithm

Akkar¹,

Haddad²

2020

IJIES

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“…The proposed arithmetic optimization algorithm (AOA) in literature (Zhang et al, 2022), based on arithmetic operators in mathematics, enabled simple and rapid adaptive local exploration and global exploitation, thereby avoiding low quality LMPP to raise the energy utilization efficiency and generation efficiency of TEG systems. In addition, the musical chairs algorithm (MCA), particle swarm optimization (PSO) (Lamzouri et al, 2020), cuckoo search algorithm (CSA), as well as genetic algorithm (GA) are also applied to the MPPT of TEG systems.…”

Section: Introductionmentioning

confidence: 99%

Optimal Reconfiguration of Thermoelectric Generation System Under Heterogeneous Temperature Difference

Zheng

Zhang²,

2022

Front. Energy Res.

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In view of the low efficiency of thermoelectric generation systems in different regions, this paper designs an optimization and reconfiguration of thermoelectric power generation system under heterogeneous temperature difference (HTD) based on particle swarm optimization (PSO) algorithm, so as to make full use of various thermal energy resources and obtain higher electrical output power, which realize multi-directional utilization of energy. In addition, PSO algorithm is a simple optimization strategy with a straightforward operation mechanism and fewer parameters to control during calculation. The research shows that when TEG array is in multiple HTD states, PSO algorithm has a stronger ability to get rid of local optimization, which can reduce power loss and improve energy conversion efficiency. On this basis, PSO algorithm is used to reconfigure the 15 × 15 symmetric TEG array. The experimental simulation analysis based on MATLAB platform is carried out to verify the feasibility of PSO algorithm.

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“…Its basic principle is to rearrange the temperature in the same rows of temperature difference array through 1) diagonal 2) outer 3) centre and 4) random to balance the impact of NTD (Zhang et al, 2022). Inspired by the reconfiguration of PV arrays (Fathy, 2018;Fathy, 2020;Lamzouri et al, 2020), this paper proposes a novelist bald eagle search algorithm (BES) for the reconfiguration of TEG arrays to improve power generation efficiency.…”

Section: Introductionmentioning

confidence: 99%

Bald eagle search algorithm based optimal reconfiguration of centralized Thermoelectric Generation System under non-uniform temperature distribution condition

Zhang

Fang

2022

Front. Energy Res.

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Fossil energy is becoming increasingly scarce, and technological innovation to promote clean energy consumption and achieve the “dual carbon” goal has increasingly become the focus of discussion. Compared with the full coverage thermoelectric module design scheme, the optimized layout scheme uses fewer thermoelectric generation (TEG) modules, thus confirming that the more TEG modules that are not arranged, the better. This research provides a possible way to improve the output power of TEG system. This paper proposed a bald eagle search algorithm (BES) scheme to optimize centralized TEG array reconfigures, which has not been previously employed to achieve a fast and effective tracking of the maximum power point tracking (MPPT) under non-uniform temperature difference (NTD) condition. In order to efficiently seek the global MPP (GMPP) under NTD condition, a BES algorithm is adopted to TEG reconfigures arrays to evidently improve the global searching ability of BES algorithm through the previous searching results. Furthermore, the main method in this paper is preliminarily verified on MATLAB. Both simulation and experimental results show that BES algorithm can significantly improve the convergence accuracy and output power.

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Optimized TSMC Control Based MPPT for PV System under Variable Atmospheric Conditions Using PSO Algorithm

Cited by 19 publications

References 13 publications

Design Stable Controller for PUMA 560 Robot with PID and Sliding Mode Controller Based on PSO Algorithm

Design Stable Controller for PUMA 560 Robot with PID and Sliding Mode Controller Based on PSO Algorithm

Optimal Reconfiguration of Thermoelectric Generation System Under Heterogeneous Temperature Difference

Bald eagle search algorithm based optimal reconfiguration of centralized Thermoelectric Generation System under non-uniform temperature distribution condition

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