Speed Control of BLDC Using NARMA-L2 Controller in Single Link Manipulator

Çelikel, Reşat

doi:10.17694/bajece.510170

Cited by 14 publications

(9 citation statements)

References 13 publications

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“…The non-linear autoregressive moving average controller is the most effective in the non-linear control systems. It is referred to as NARMA-L2 control when the plant model can be approximated by a particular form [18]- [21]. The dynamic responses of the area frequency and tie-line power flows are obtained using this controller in the power systems [22].…”

Section: Narma-l2 Controllermentioning

confidence: 99%

An optimal artificial neural network controller for load frequency control of a four-area interconnected power system

Basavarajappa

Nagaraj²

2022

IJECE

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In this paper, an optimal artificial neural network (ANN) controller for load frequency control (LFC) of a four-area interconnected power system with non-linearity is presented. A feed forward neural network with multi-layers and Bayesian regularization backpropagation (BRB) training function is used. This controller is designed on the basis of optimal control theory to overcome the problem of load frequency control as load changes in the power system. The system comprised of transfer function models of twothermal units, one nuclear unit and one hydro unit. The controller model is developed by considering generation rate constraint (GRC) of different units as a non-linearity. The typical system parameters obtained from IEEE press power engineering series and EPRI books. The robustness, effectiveness, and performance of the proposed optimal ANN controller for a step load change and random load change in the system is simulated through using MATLAB-Simulink. The time response characteristics are compared with that obtained from the proportional, integral and derivative (PID) controller and non-linear autoregressive-moving average (NARMA-L2) controller. The results show that the algorithm developed for proposed controller has a superiority in accuracy as compared to other two controllers.

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Section: Narma-l2 Controllermentioning

confidence: 99%

An optimal artificial neural network controller for load frequency control of a four-area interconnected power system

Basavarajappa

Nagaraj²

2022

IJECE

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“…Grid and rotor side converters are used to supply the electrical energy generated by the double feed induction generator. The grid and rotor side controllers are designed to correct the electrical energy produced in the generator to meet the requirements of the load [9][10][11][12][13][14][15][16][17][18][19]. The three-phase T-type converter is given in Fig.…”

Section: The Proposed Modelmentioning

confidence: 99%

Comparison of T-Type Converter and NPC for the Wind Turbine Based on Doubly-Fed Induction Generator

Gencer

2021

Balkan Journal of Electrical and Computer Engineering

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A three-phase T-type converter topology proposes for wind turbine based on doubly fed induction generator (DFIG). The proposed converter consists of only twelve power switches without flying capacitors or any clamping diodes. The proposed system is implemented to grid side converter of wind turbine. Fuzzy logic controllers are more widely used in wind turbines compared to traditional control systems. Fuzzy logic PI controller has been applied to T-type and the conventional neutral-point clamped (NPC) converters control circuits. Total harmonic distortion (THD) value of current of presented system is measured as 1.76%. Also, DC-link voltage utilization can be maintained. Comparisons are conducted with T-type converter and a 3L-NPC) method under same operation conditions. The proposed scheme has been carried out to verify in simulation results.

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“…Depending on the current drop or rise, the duty cycle PWM is increased or decreased. MOSFET keeps the current constant according to the tolerance range [15,16].…”

Section: Figure 3 Block Diagram Of Current Controlmentioning

confidence: 99%

Development of a Cost-Effective Heavy-Duty Lead-Acid Battery Capacity Tester

Ergün

Kaymaz

Terzi

et al. 2020

European Journal of Technic

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Batteries are the energy source that provides energy to the vehicle for the first movement. Batteries used in motor vehicles nowadays are usually lead-acid batteries. This paper introduces the basic components of lead-acid batteries and describes the concept of a battery capacity test. The general definition of the standard for testing, EN50342, and the required conditions are presented. Furthermore, a cost-effective capacity tester for heavy-duty lead-acid batteries in compliance with the standard was developed and introduced.

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Speed Control of BLDC Using NARMA-L2 Controller in Single Link Manipulator

Cited by 14 publications

References 13 publications

An optimal artificial neural network controller for load frequency control of a four-area interconnected power system

An optimal artificial neural network controller for load frequency control of a four-area interconnected power system

Comparison of T-Type Converter and NPC for the Wind Turbine Based on Doubly-Fed Induction Generator

Development of a Cost-Effective Heavy-Duty Lead-Acid Battery Capacity Tester

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