Scalar speed control of induction motor with curve-fitting method

Ötkün, Özcan; Demir, Faruk; Otkun, Selçuk

doi:10.1080/00051144.2022.2060657

Cited by 2 publications

(2 citation statements)

References 30 publications

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“…Lately, scalar control has been widely applied to the industry, transportation, and household sectors with an industrial class instrument [6]- [7]. The scalar control of the stator voltage depends on frequency supply, except in low and above base rotor speed [8]- [9]. On the one hand, the scalar control is easy to implement, low-cost operation, and robust against error feedback.…”

Section: Introductionmentioning

confidence: 99%

The Industrial IoT Control Design of Three Phase Induction Motor using Conventional V/F Method

Aditya

Utomo

Alham

et al. 2023

ELKHA

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Nowadays, the Internet of Things (IoT) is inseparable from the industrial revolution 4.0 and society 5.0. IoT allows all aspects to be connected at the same time. In industrial processes, the IoT controls the actuator and monitors the behavior system. Industrial IoT (IIoT) connected the Human Machine Interface (HMI) Haiwell C7S with the actuator (Schneider Altivar 12) and the controller (OMRON CP1E-NA20DRA). The communication between the variable speed drive and Haiwell C7S using Modbus protocol is connected with RS485. Schneider Altivar 12 is a variable-speed drive that controls the Induction Motor (IM) rotor speed using the conventional V/F method. The scalar control of IM controls supply frequency and voltage simultaneously. The success parameter of the proposed systems is a rotor speed response and voltage in various supply frequencies. The results show that the 5 Hz supply frequency makes the absolute error of rotor speed response 11.43% for tachometer measurement, 0.67% from VSD data, and 12.67% for rotary encoder measurement. This absolute error will decrease significantly when the supply frequency exceeds 20 Hz, or the rotor speed response exceeds 1200 rpm. The changes in the supply frequency change the voltage's magnitude. The voltage will increase proportionally, along with the increase in supply frequency.

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Section: Introductionmentioning

confidence: 99%

The Industrial IoT Control Design of Three Phase Induction Motor using Conventional V/F Method

Aditya

Utomo

Alham

et al. 2023

ELKHA

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show abstract

“…In addition, different approaches are proposed, which are used intelligent control techniques: Fuzzy Logic Controller (FLC), Artificial Neural Networks (ANN), Artificial Intelligence (AI), and Genetic Algorithms (GA) in combination with conventional approaches. Some studies employ both traditional and intelligent control methods, as well as studies that use exclusively intelligent control methods [9][10][11]. The control circuit represented by ANFIS and Optimization can significantly improve transient stability and reach a steady state quickly compared to traditional controllers [12].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Hybrid Control System using ANFIS-Optimization for Scalar Control of an Induction Motor

Mohammed,

Alsammak

2023

JESA

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Recently, the three-phase induction motor (IM) has been widely used in AC motor drives and in industrial applications. The IM suffers from the accuracy of controlling the speed when it operates at different loads; this problem attracts the attention of many researchers in this field. This paper presents an Intelligent Hybrid Control System using ANFIS (Adaptive Neuro-Fuzzy Inference System)-Optimization for Scalar Control (SC) of an Induction Motor. In order to obtain optimum performance of the motor and to decrease the Total Harmonics Distortion (THD) of the motor current a Voltage Source Inverter (VSI) based on the Pulse Width Modulation technique (PWM) is used to drive the motor. To improve the speed response, accuracy and the motor's performance, an improved hybrid control system involves an optimization control method in addition to an Adaptive Neuro-Fuzzy Inference System used to adjust the amplitude and the Modulation Index (MI) of the reference signal. The proposed hybrid system improves the transient stability of motor speed and reaches a steady state much faster than the traditional controller. The Matlab-Simulink results proved the remarkable effectiveness of the proposed controller when comparing the results with two other controllers, the usual PI controller and the optimization controller.

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Scalar speed control of induction motor with curve-fitting method

Cited by 2 publications

References 30 publications

The Industrial IoT Control Design of Three Phase Induction Motor using Conventional V/F Method

The Industrial IoT Control Design of Three Phase Induction Motor using Conventional V/F Method

An Intelligent Hybrid Control System using ANFIS-Optimization for Scalar Control of an Induction Motor

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