The project designed to control the speed of inductionmotor such as fan using androidbased smart phone. In home automatic related application, the convenience of remotely controlling the speed of fan can be achieved. Android mobile act as a transmitter and the transmitted signal is received by Bluetooth receiver interfaced to microcontroller 8051. Each time data is sent by android application as per code written and is executed by microcontroller to deliver supply signal to TRIAC through optical isolation. Hence the power to load connected in series with TRIAC is controlled based on received signal and speedcontrol of inductionmotor is achieved. In this design, feedback is also provided to the host. Speed counter is connected at the load i.e. at inductionmotor so that the speed can be displayed to the user. The prototype is developed and results are observed. Keywords: InductionMotor, Microcontroller, Bluetooth, KEIL software etc.
challenge of speedcontrol in induction motors. The emergence of AC drives (power electronics) has made induction motors more popular because today speedcontrol in induction motors is possible and easy, notwithstanding other benefits of induction motors compared to dc motors. Generally, variable-speed drives for induction motors require wide operating range of speeds and fast torque response, regardless of load variation, and acts as industrial energy savers. Voltage source inverter-fed induction motors are most preferred for variable speed drive applications. Recorded advantages of Inductionmotor includes; Simple and rugged design, No brushes, Low maintenance cost, high efficiency and ability to operate in hazardous environment. Induction motors have the following demerits; (a) Load is dependent on slip, (b) Position sensor may be required, and (c) it is a fixed-speedmotor. Due the above, developing a control system for induction machine operation becomes imperative.
Induction motors are essential components in the vast majority of industrial processes, while due to the fact that these motors are operating in difficult working environments, there are numerous degrading factors such as: dust, temperature variations, humidity, continuous operation, and heavy loads. In the last decade the problem of achieving high performance from inductionmotor - with sensorless control - is a very interesting topic .
motor can be measured. The measuring of the speed is done with the help of proximity sensor and measuring of the voltage is done with the help of voltage divider. Thus measured quantity will be given to a controller and will convert it to digital and will send to raspberry pi. The speed value set in the website will be set as the reference to the controller and it will give the PWM pulse as output to the driver circuit. Based on the generated pulse the speed of the motor can be controlled. The other appliances in the industry can also be switched on and off from the website. A live video streaming facility is added to monitor the operation of the InductionMotor from the website.
Its output is the updating in PI controller gains (Kp and Ki) based on a set of rules to maintain excellent control performance even in the presence of parameter variation and drive nonlinearity. The use of PI controllers for speedcontrol of induction machine drives is characterized by an overshoot during tracking mode and a poor load disturbance rejection. This is mainly caused by the fact that the complexity of the system does not allow the gains of the PI controller to exceed a certain low value. At starting mode the high value of the error is amplified across the PI controller provoking high variations in the command torque. If the gains of the controller exceed a certain value, the variations in the command torque become too high and will destabilize the system. To overcome this problem we propose the use of a limiter ahead of the PI controller . This limiter causes the speed error to be maintained within the saturation limits provoking, when appropriately chosen, smooth variations in the command torque even when the PI controller gains are very high. The motor reaches the reference speed rapidly and without overshoot, step commands are tracked with almost zero steady state error and no overshoot, load disturbances are rapidly rejected and variations of some of the motor parameters are fairly well dealt with. In the next chapter we will discuss about the PI controller and designing of PI controller. 2.4 Fuzzy Logic Control: Due to continuously developing automation systems and more demanding small Control performance requirements, conventional control methods are not always adequate. On the other hand, practical control problems are usually imprecise.
ABSTRACT: This paper presents design and development of a three phase inductionmotor drive using IGBTs at the inverter power stage with volt hertz control (v/f) in closed loop using dsPIC30F5011 as a controller. It is a 16bit high performance digital signal controller(DSC). DSC is a single chip embedded controller that integrates a controller attributes of a controller with a computation and through put capabilities of a DSP in a single core. A 1.5HP, 3-phase, 415V, 50Hz inductionmotor is used as load for the inverter. Digital Storage Oscilloscope Textronix TDS2024B is used to record and analyse the various waveforms. The experimental results for V/F control of three phase inductionmotor using dsPIC30F5011 chip clearly shows constant volts/hertz and stable inverter line to line output voltage.
AC induction motors have been widely used in industrial applications such as machine tools, steel mills and paper machines owing to their good performance provided by their solid architecture, low moment of inertia, low ripple of torque and high starting torque. some control techniques have been developed to regulate these induction motors servo drives in high- performance applications. One of the most popular technique is the indirect field oriented control method (Egiguren et al., 2008). The field-oriented technique guarantees the decoupling of torque and flux control commands of the inductionmotor, so that the inductionmotor can be controlled linearly as a separated excited d.c. motor. However, the control performance of the resulting linear system is still influenced by uncertainties, which are usually composed of unpredictable parameter variations, external load disturbances, measurement noise and unmodelled and nonlinear dynamics. therefore, many studies have been made on the motor drives in order to preserve the performance under these parameter variations and external load disturbances, such as nonlinear control, optimal control, variable structure system control, adaptive control, neural control and predictive control (Egiguren et al., 2008 and Marino et al., 1998).
The principle of direct torque control using fuzzy logic (FDTC). The fuzzy controller is designed to have three fuzzy state Variables and one control variable for achieving direct torque Control of the induction machine, there are two variable input fuzzy logic controllers, Speed error membership function, change in Speed error membership function respectively the output it is the Current reference membership function. Fig (5) shows the structure of fuzzy speed controller.
motor system is studied in this Project. In order to optimize the control performance of the IM, the hysteresis current control method is introduced in the control design of speed loop. In the system predictive voltage controller based on speed of the inductionmotor by the observer is implemented A simplified model is employed to predict the future speed of IM. Then, an optimal control law is obtained by minimizing a quadratic performance index. However, it is noted that the standard current control method does not achieve a satisfying effect in the presence of strong disturbances. To this end, an improved hysteresis method is developed. It introduces extended state observer (ESO) to estimate the lumped disturbances and adds a feed forward compensation item based on the estimated disturbances to the speed controller. The stator current can be easily adjusted by modulating the pulse width of the switching device during the alignment. Some experiments are implemented on a single chip ARM processor to demonstrate the feasibility of the sensor less and start up techniques.
The revolution per minute of the driven shaft need to be increased or decreased depending on load changes, application requirement or other circumstances. For example, a pump delivering cooling liquid supply may require peak load operation only for a requisite period of time and may require only much less amount during remaining time of the day. VFD will allow the speed of the pump to run at a lower rate in such case thereby enabling energy saving benefits. The Compact Logics PLC is used which is interfaced with the help of a software known as RS Logics 5000. The PLC has been connected to control and monitor a VFD which acts as a go-between the three phase inductionmotor and the PLC. The PLC processes the inputs according to the ladder logic programming and initiates corresponding output to the VFD. The VFD in turn once again processes the PLC input to it and accordingly controls the speed of three phase inductionmotor.
V. S PACE VECTOR PULSE WIDTH MODULATION The basic idea of the SVPWM is bought from the operation of the inductionmotor. Traditionally in the inductionmotor the transformation of the three phase stator current into the two phase rotor flux is the basic formation of the space vector modulation. Space vector modulation (SVM) is an algorithm for the controlling the switching operation of the inverter. The space vector modulation mostly creates the AC waveforms to operate a 3-phase AC drives at variable speed. The space vector modulation it used for the different controlling operations and for computational requirements. SVM utilize the available DC bus voltage by 15 % more than SPWM. One of the main research area for the development of high voltage and reduction of total harmonic distortion (THD) created by the rapid switching. Its Treats the sinusoidal voltage as constant amplitude vector rotating at constant frequency, it directly uses the control variable given by the control system and identifies each switching vector as a point in complex space. Sector identification and triangle determination is to calculate the switching intervals for all vectors make SVM method quite complicated.
ABSTRACT: The main objective of this project is to control the speed of INDUCTIONMOTOR at lower cost and efficient performance. The inductionmotorspeed variation can be easily achieved for a short range by stator voltage control. The terminal voltage across the stator winding of the motor can be varied for obtaining the desired speedcontrol by controlling the firing angle of the semiconductor power devices (TRIAC in our project). RASPBERRY PI 2 (model B) plays an important in our project. Raspberry Pi has very small size and it is a low cost device. Raspberry Pi has a Quadcore broadcom BCM2836 900 MHz processor and 1GB RAM. It can perform the work like that of computer thus it can be referred as minicomputer. Python language must be used for this. And it uses Raspbian operating system based on Debian distribution of LINUX.
on keeping a constant voltage/frequency (V/f) ratio in order to maintain a constant flux in the machine. Although the control of V/f drives is relatively simple, the torque and flux dynamic performance is extremely poor. As a consequence, great quantities of industrial applications that require good torque, speed or position control still use DC machines. The advantages of induction machines are clear in terms of robustness and price; however it was not until the development and implementation of field orientated control that induction machines were able to compete with DC machines in high performance applications. Classical controller like PI controller has been used for the speed regulation to generate a command current for last two decades, and accepted by industry because of its simplicity. Even though, a well-tuned PI controller performs satisfactorily for a field-oriented induction machine during steady state. The speed response of the machine at transient, especially for the variable speed tracking, may sometimes be problematic. In last two decades, alternative control algorithms for the speed regulation were investigated. The various speed estimation methods are:
loss into account is complicated [18-21]. Therefore, an IFOC method of inductionmotor drives taking core loss into account in terms of magnetizing current components has been proposed with PI speed controller loop in . The extension work  of literature  has been done to regulate speed and rotor flux based on PI controller. In , the PI controller gains were changed to obtain de- sired speed under the variation of load torque. One set of fixed PI controller gain is unable to track the desired speed. Moreover, the steady state error cannot be mini- mized to zero by the conventional PI controller [16,21]. An IFOC of inductionmotor drive to regulate speedbased on fuzzy-logic has been proposed in  neglecting core loss. To overcome the previously discussed disad- vantages of conventional PI controller and the complica- tion effects of core loss of inductionmotor drive, it would be desirable to design a well controller. The fuzzy- logic control (FLC) is seemed to be a suitable controller in terms of high dynamic response under the variation of load torque and parameters .
Logic circuitry of FPGA consist of arrays of gate and reconfigurable matrix block. The application of software and implementation of hardware is creates when the blocks configured. To process the logic it uses logic of particular hardware processing unlike other OS. Other process need not to be compete as it ids parallel in nature. because of this if there is more loops are logically controlled and performing it doesn’t affects the output performance. the FPGA are allows their internal circuit to be reconfigured and hence the control circuit performance increases.
In recent time there is increase in demand of InductionMotor in industries. In this paper we present the sensorless method for speed estimation and control of three phase inductionmotor . No sensors are used so this system isrugged and simple. The dynamic model of the inductionmotor is derived by using a two-phase motor in direct and quadrature axis.
In any industry the inductionmotor plays an important role due to its low cost and simplicity. By implementing a monitoring and control system for the speed of motor, the inductionmotor can be used in high performance variable-speed applications. By using open loop v/f control method, frequency can be varied from 5Hz to 75Hz but by using VFD, frequency can be varied upto 1500Hz. The inductionmotor can run only at its rated speed when it is connected to the main supply. However, they are constant motor. To control the speed of these motor, a motor drive and control system with different methods can be used. An induction motor’s speed enable affected by the supply frequency, change the number of motor stators, adjust the power input. In an inductionmotor, there is no electrical connection to the rotor, but currents are induced in the rotor circuit. The rotor conductors carry current in the stator magnetic field and thereby have a force exerted upon them tending to move them at right angles to the field. When the stator winding of a three phase AC supply, a rotating magnetic field is established and rotates at synchronous speed. The direction of rotation of the field can be reversed by interchanging the connection to the supply of any two leads of a three phase inductionmotor.
Abstract: An Artificial Neural Network (ANN) basedspeedcontrol for a three phase inductionmotor is presented. The speed of the motor is controlled by using a thyristor voltage regulator with variable firing delay. The ANN used is a two layer feed forward type and is optimally trained to generate the firing delay for a desired speed torque combination. Also implemented in the presented model is a soft starter which gives the firing delay an appropriate time varying profile. The gradual increase in the motor supply voltage caused by the soft starter leads to a significant reduction in the motor starting torque and current pulsations as evident from the simulation results. The model is tested for several torque speed combinations and the performance of ANN controller as well as soft starting technique are found to be satisfactory.
Motor elektrik telah digunakan secara meluas untuk pelbagai aplikasi semenjak revolusi perindustrian. Kelajuan dan arah pusingan motor adalah bergantung kepada aplikasinya. Kaedah yang sedia ada memerlukan penyelarasan pada perintang boleh laras untuk mengawal kelajuan motor. Namun demikian, pendekatan sebegini akan menyebabkan kehilangan kuasa yang tinggi dan menunjukkan sistem yang digunakan tidak efisien. Walaupun kaedah kawalan PWM telah biasa digunakan untuk mengatasi kelemahan ini, tetapi isyarat kawalan yang terhasil dan kelajuan pusingan yang sebenar tidak dapat dipaparkan serta dikawal. Justeru itu, kebolehharapan, keberkesanan serta kejituan teknik isyarat PWM masih tidak jelas. Projek ini bertujuan untuk membangunkan suatu sistem kawalan kelajuan motor AT secara berkomputer. Sistem yang berjaya dibangunkan boleh menjana isyarat PWM dengan menggunakan perisian NI LabVIEW dan peranti NI DAQ (USB- 6221) bagi membolehkan pengawasan secara digital dan mengawal kitar duti
SMC is considered as an effective and robust control strategy. It is mainly a Variable Structure Control (VSC) with high frequency discontinuous control action which switches between several functions depending on the system states. This forces the states of the system to slide on a predefined hypersurface. The plant states are mapped into a control surface using different continuous functions and the discontinuous control action switches between these several functions according to plant state value at each instant to achieve the desired trajectory. SMC is known for its capability to cope with bounded disturbance as well as model imprecision which makes it ideal for the robust nonlinear control of inductionmotor drives , . To design a sliding mode speed controller for the inductionmotor DTC drive, consider the mechanical equation: