Modeling and Simulation of Direct Torque Control Induction Motor Drives via Constant Volt/Hertz Technique

A reporting of Energy Audit in 2018 by LEMTEK UI has reported that air fan system currently used in Power Plant of PLTU Tanjung Jati B Jepara is inefficient, energy efficiency in FDF is only 32% and PAF efficiency is 49.01%. Inefficiency of the air fan system is an impacted there are waste of electric energy amount of 13,352,929 KWh (13,35 GWh) a year with a financial loss of IDR 13,352,929,140. To overcome this condition, variable frequency drive (VFD) is installed which adjusted air flow as needed so that energy waste can be reduced. MATLAB simulation is proposed to analyze the VFD method. The result shows that by using VFD, 8,233,573.444 KWh (8.45 GWh) can be saved a year. Total cost benefits are IDR 8,233,573,444 as 32.1% of saving cost. Efficiency of FDF is 72.57 % and PAF is 66.84%.

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“…FDF and PAF systems using VFD are shown in Figure 1 [6], [16]- [21]. The VFD block scheme is shown in Figure 2 [16], [20], [22]- [26].…”

Section: Methodsmentioning

confidence: 99%

Energy saving analysis of air fan motor in power plant boiler controlled by variable frequency drive

Wibowo

Haddin

Marwanto

2021

IJPEDS

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“…The stator flux and torque hysteresis control, the control signal is given by Ψ Q and T Q when the actual speed is smaller than the incremental value in the given torque, the torque will increase the torque hysteresis control signal is 1, the corresponding voltage space vector, the stator flux can forward rotation speed will increase. [6] The system simulation results analysis…”

Section: Fig 1 Simulation Of Flux Linkage Voltage Modelmentioning

confidence: 99%

Simulation and research of automobile induction motor drive control system based on MATLAB/Simulink software

Zhang¹

2017

Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

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At present, the traditional internal combustion engine vehicles caused serious damage to the environment, in this context, people must re dynamic problems for future cars for a full range of research and discussion, in order to make the traffic of our country energy strategy transformation. In this way, hybrid electric vehicle has been the focus of research. Hybrid cars than conventional cars more than a battery motor system, the main work of this paper is from the motor drive control system, through the research and analysis of the performance of the motor, the induction motor is selected as the research object, the motor drive control system for the modeling and simulation research. The electric motor is the key part of the electric vehicle, it needs to have the function of frequent stop, start, slow down and acceleration, and it can realize the high torque in the process of gentle slope and climbing. The induction motor has the advantages of simple structure, simple and reliable operation and long service life. With the continuous progress of China's social economy, the development of modern electronic technology, in this context, the induction motor is generally known as the industry of drag motor. The processing ability of MATLAB/Simulink software is more powerful, can realize modeling, simulation, data analysis and image processing capabilities, Simulink MATLAB simulation environment, the visibility is higher, and the oriented structure, so this paper take the MATLAB/Simulink software as the foundation, the simulation study on the auto induction motor drive control system.

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“…Direct torque control based on constant voltage per frequency (V/F) control technique (DTC-CVFC) [6,7] is a control method for control IM. The stator voltage magnitude and phase angle references for controlling the IM are generated based on constant V/F control principle by considering from torque and stator flux magnitude errors.…”

Section: Introductionmentioning

confidence: 99%

Online Speed Estimation Using Artificial Neural Network for Speed Sensorless Direct Torque Control of Induction Motor based on Constant V/F Control Technique

Pimkumwong

Wang

2018

Energies

Self Cite

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This paper presents the speed estimator for speed sensorless direct torque control of a three-phase induction motor based on constant voltage per frequency (V/F) control technique, using artificial neural network (ANN). The estimated stator current equation is derived and rearranged consistent with the control algorithm and ANN structure. For the speed estimation, a weight in ANN, which relates to the speed, is adjusted by using Widrow-Hoff learning rule to minimize the sum of squared errors between the measured stator current and the estimated stator current from ANN output. The consequence of using this method leads to the ability of online speed estimation and simple ANN structure. The simulation and experimental results in high-and low-speed regions have confirmed the validity of the proposed speed estimation method. switching table are replaced by the proportional-integral (PI) controllers and SVM technique when comparing with the traditional DTC. The coordinate transformation, which is used in DTC-SVM, is not required. As a result, the torque and flux ripples are reduced and the switching frequency is constant. However, the speed signal is required in this control algorithm. Speed signal is generally achieved in two ways: one is the direct measurement through speed sensors such as tachogenerators, optical rotary encoders and magnetic rotary encoders; the other is the software based state observers and estimators by other physical parameters known as speed sensorless.The speed sensorless control of IM drives has attracted attention due to its advantages of reduction of hardware complexity and cost, eliminating of sensor cables, higher mechanical robustness, increasing the system reliability, lower maintenance requirements and cost, and ability of working in hostile environments. Several speed estimation methods for the speed sensorless IM drives have been proposed and investigated. They can be classified into two categories: machine model-based schemes and signal injection-based schemes [8][9][10][11][12][13][14].Signal injection-based schemes use rotor slot harmonics, saturated, and leakage inductances for speed estimation by injecting high or low frequency signals. In [8][9][10], high frequency signal injection methods are introduced for speed estimation. A low frequency signal injection method for sensorless control of interior permanent magnet synchronous motor (IPMSM) drives is presented in [11]. These methods are insensitive to motor parameter variations and provide accurate speed estimation, especially at low speed [12]. However, they are very complicated to implement, strongly rely on motor designs and require special designs for specific motor drives [12][13][14]. Moreover, torque ripples and noises make them hard to be widely used in industry [14].Machine model-based schemes use the instantaneous values of machine stator voltages and currents to estimate the speed and flux linkage. These methods utilize the direct and quadrature (d-q) axis mathematical models to describe the machine behavior by ass...

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Modeling and Simulation of Direct Torque Control Induction Motor Drives via Constant Volt/Hertz Technique

Cited by 13 publications

References 2 publications

Energy saving analysis of air fan motor in power plant boiler controlled by variable frequency drive

Energy saving analysis of air fan motor in power plant boiler controlled by variable frequency drive

Simulation and research of automobile induction motor drive control system based on MATLAB/Simulink software

Online Speed Estimation Using Artificial Neural Network for Speed Sensorless Direct Torque Control of Induction Motor based on Constant V/F Control Technique

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