Real-time speed controlling of a DC motor using fuzzy logic controller

Kandilli, İsmet

doi:10.5505/pajes.2016.94546

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The results presented were from tests that solely involved an open-loop speed controller. In a related study, the implementation of the speed control of a DC motor was demonstrated [19] using a fuzzy logic controller with the speed error and change in speed error as inputs to the fuzzy controller. The speed controller was tested with a multifunctional data acquisition device NI USB-6812 DAQ card and MS15 DC motor control module.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Implementation and Control of Multi-Source Electric Vehicle Traction Motor under Various Drive Conditions

Prasanthi,

Shareef,

Errouissi

et al. 2023

Energies

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The hybridization of multiple energy sources is crucial for electric vehicles to deliver the same performance as modern fossil fuel-based automobiles. This paper presents a torque and speed control strategy for an electric vehicle DC traction motor by regulating the power flow from two energy sources, namely battery and supercapacitor systems, to resist unpredictable disturbances. A control system with three control loops is applied to regulate the speed of the traction motor. The outer speed control loop is a nonlinear state feedback controller with a disturbance observer, which is capable of handling non-linear systems with unpredictable disturbances. The inner voltage and current control loop are precisely tuned PI controllers. Using an adaptive energy management method that varies depending on the state of charge of the source, the total reference current needed to support the load demand is split between two sources. A laboratory prototype system model is generated, and the performance is analyzed under motoring and regenerative braking conditions. For monitoring and controlling the system, the dSPACE DS1202 real-time simulator is employed. The performance of the proposed control system is evaluated and it is found that the settling time to settle within a tolerance band of 1% is 0.75 s.

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Section: Introductionmentioning

confidence: 99%

Real-Time Implementation and Control of Multi-Source Electric Vehicle Traction Motor under Various Drive Conditions

Prasanthi,

Shareef,

Errouissi

et al. 2023

Energies

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show abstract

“…In [20], in order to control the system, Quanser Q8 data acquisition card along with high performance computers were used for sending analog signals and getting encoder signals. In [21], the data exchange with the PC was provided by a NI USB-6812 DAQ card, which sent the signals that it received from the feedback tacho generator and control signals to the DC motor control module. In both cases vast resources were used for the control of DC motor.…”

Section: Introductionmentioning

confidence: 99%

Simple Implementation of a Fuzzy Logic Speed Controller for a PMDC Motor with a Low Cost Arduino Mega

Belkhir¹

2020

Eng. Technol. Appl. Sci. Res.

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Control of the permanent magnetic direct current PMDC motor is a common practice, hence the importance of the implementation of the PMDC motor speed controller. The results of a fuzzy logic speed controller for the PMDC motor rely on an appropriate base. As the dimension of the rules increases, its difficulty rises which affects computation time and memory requirements. Fuzzy Logic Controller (FLC) can be carried out by a low-cost Arduino Mega which has a small flash memory and a maximum clock speed of 16MHz. It is realized by three membership functions and each was divided into three memberships. The results of the FLC are satisfactory, revealing superior transient and steady-state performance. In addition, the controller is robust to speed mode variations.

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Deep Learning Based Phase Current Prediction Model in Three-Phase IGBT Two-Level Inverter for Electrical Drives

Akin,

Canbay,

Ocak

2024

2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)

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Real-time speed controlling of a DC motor using fuzzy logic controller

Abstract: Abstract

Cited by 4 publications

References 13 publications

Real-Time Implementation and Control of Multi-Source Electric Vehicle Traction Motor under Various Drive Conditions

Real-Time Implementation and Control of Multi-Source Electric Vehicle Traction Motor under Various Drive Conditions

Simple Implementation of a Fuzzy Logic Speed Controller for a PMDC Motor with a Low Cost Arduino Mega

Deep Learning Based Phase Current Prediction Model in Three-Phase IGBT Two-Level Inverter for Electrical Drives

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