New method for speed control of single phase induction motor with improved motor performance

Metwally, Hamid

doi:10.1016/s0196-8904(00)00114-x

Cited by 14 publications

(5 citation statements)

References 5 publications

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“…In this study, motor settled in 2000rpm reference speed within about 1.82 seconds. In the study made with the Internal Model Controller designed for the IM speed control in [20] and realized as real time, the step response performance of the controller was evaluated. The motor settles in 1390rpm reference speed within about 3 seconds with the defined controller.…”

Section: Resultsmentioning

confidence: 99%

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Dynamic Model Extraction for Speed Control of Induction Motor Driven by a Voltage Source Inverter with Using System Identification Application

Yumurtacı¹,

Yabanova²,

Oğuz³

2015

IJOEE

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In this study, the dynamic model extraction of the three-phase squirrel cage asynchronous motor driven with a voltage source inverter and the system identification for the speed control has been applied. The transfer function of the system corresponding to the dynamic behavior of the asynchronous motor in real time was found by using the System Identification Toolbox in the MATLAB/Simulink program. By using the transfer function found for system, a simulation block diagram was executed. To keep the change in asynchronous motor speed within the desired tolerance limit values, the gain coefficients of PI controller was adjusted automatically by making a simulation study. The gain coefficients of the controller found as a result of the simulation study were applied without any change to the same asynchronous motor that was operated in real time. It has been determined that there was no deviation that might negatively effect the steady-state operation at motor speed against to mechanical load changes. 

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Section: Resultsmentioning

confidence: 99%

“…Ref. [20], a new method of speed control was proposed. The basic idea of the proposed method is to control the current of the main winding only and to keep the auxiliary winding current at its rated value.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Model Extraction for Speed Control of Induction Motor Driven by a Voltage Source Inverter with Using System Identification Application

Yumurtacı¹,

Yabanova²,

Oğuz³

2015

IJOEE

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“…This is a simple and economical method that can be integrated and implemented easily. The idea of integrating the IoT solutions with this voltage control method makes it feasible to control the fan speed [9]. The microcontroller ESP8266 acts as the heart of the system as it performs and controls all the operations.…”

Section: Methodsmentioning

confidence: 99%

Air Flow Control of a Smart Electric Fan using IoT Solutions

Vennapusa,

Yammen

2019

IJEAT

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Remote control of electric fans by the application of IoT technology addresses the restrictions of “push button” controls that are usual in conventional fans. This paper explains a new control method for air flow control of a Smart Electric Fan (SEF), in this case fans mainly used in the household. In this new method the supply voltage that is applied to the motor terminals of the SEF is precisely changed with the mobile application developed by using IoT solutions. As this proposed method integrates with the conventional control methods referred to as the Firing Angle Control method or Phase Angle Control method with a new IoT-based solution, the controlling of any device becomes simpler. We developed a mobile application that enables the fan to be remotely controlled using a smartphone or tablet computer. The phase or delay angle of the voltage waveform is changed by giving as an input from the smart phone mobile application, and this results in minimizing the power loss caused due to switching in case of push button system. We demonstrated that by using this app, implementing the IoT-based solution, the air flow rate of the SEF was increased and the performance of the SEF exceeded the air flow rate of the original, conventionally controlled fan with the speed of the fan being significantly increased. Applying this control method has thus been verified to be advantageous and appropriate for the remote control of the air flow and fan speed, resulting in the efficient Smart Electric Fan. The main focus of this research was to implement the integrated control method in the residential fans.

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“…By varying the tapping points, the voltage/turn changes and subsequently the number of turns between the main and auxiliary windings also changes. In this method, the number of turns must be increased by about 40% in order to decrease the volts per turn [8]. This makes the initial cost of the motor high.…”

Section: Statement Of the Problemmentioning

confidence: 99%

Iot Based Platform for Smart Electric Fans

Vennapusa*¹,

Yammen²

2019

IJITEE

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Existing speed control systems on conventional electric fans operate in only three speed modes: Low, Medium and High. Changing the speed of the fan is a manual action which may be problematic for many users, such as senior citizens ordisabled users or any user with mobility problems. Using Internet of Things (IoT) technology solves this problem by allowing variation in fan speed from very low speed to the maximum speed as a linearly increasing speed function. This paper clearly explains the functioning of the IoT, and how to use IoT applications for automatic fan speed adjustments in this way, resulting in the SmartFan. A smart mobile phone with a mobile app is used as the remote controller. A control algorithm was developed to control the interactive communications between the smartphone and the electric fan. This control approach has proven to be a useful and convenient method for the remote control of electric fan speeds

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New method for speed control of single phase induction motor with improved motor performance

Cited by 14 publications

References 5 publications

Dynamic Model Extraction for Speed Control of Induction Motor Driven by a Voltage Source Inverter with Using System Identification Application

Dynamic Model Extraction for Speed Control of Induction Motor Driven by a Voltage Source Inverter with Using System Identification Application

Air Flow Control of a Smart Electric Fan using IoT Solutions

Iot Based Platform for Smart Electric Fans

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