Sliding Mode Direct Torque Control of Three Phase Induction Machine Applicable in Electric Vehicles
CHAPTER ONE
Objectives of theย Study
Twoย controlย methodologiesย forย theย IMย willย beย investigated:ย theย constantย volts/hertzย (v/f) and the direct torque control (DTC) methods. The objective is to design a SM โ based DTC, first, the design and implementation of v/fย will be discussed and its model results presented and then compared with that of the DTC. The performances of these schemes will be evaluated, compared and conclusions will be drawn from the results.
Thus, the main objective of this study, which is the contribution of this thesis, is to develop encoder less operation of a Sliding Mode Direct Torque Controlled IM drive suitable for application in electric vehicles. In order to achieve this, the main objective is broken down to the following sub-objectives:
- Analysis and modelling of the electric
- Mathematical analysis of the Induction
- Design and implementation of theย v/fย controlย strategyย forย theย Induction
- Development of sliding mode direct torque control (SM-DTC) strategy and algorithm for the Induction
- Performance comparisons and inference between the v/fย and
CHAPTER TWO
Preliminaryย Concepts
Modelling theย EV
Computers are very useful tools for modelling real world systems. Mathematical models willย beย developedย forย theย dynamicsย ofย theย EV.ย Duringย simulation,ย effectsย ofย varyingย the modelย parametersย canย beย seenย asย itย affectsย acceleration,ย topย speed,ย motorย sizing,ย vehicle range, etc. Data produced from the model equations will be used to predict vehicle behaviour.
- Tractive Effort
Considerย aย vehicleย ofย massย m,ย movingย atย aย velocityย vย upย aย slopeย ofย angleย ฮฑgย asย shownย in Figureย 2.1.ย Theย forceย propellingย theย vehicleย forwardย hasย toย accomplishย theย following:
- Overcome rolling resistance,
- Overcome aero dynamic drag,
- Provide the force needed to overcome the vehicleโs weight acting down the slope,
- Accelerate the vehicle if the velocity is not constant
CHAPTER THREE
Theย Inductionย Motor:ย Mathematicalย Analysis
Inductionย Motorย Analysisย usingย Spaceย Vectors
Usually referred to as the workhorse of industry, the induction machine has many applications. In this case, it is applied in traction for EV propulsion, and as the sole unit of propulsion, deep understanding of its principles of operation, its behaviour under different conditions and mathematical analysis of its operation is fundamental. In the following analysis, it is assumed that the magnetic material in the stator and the rotor: 1)ย is operated in its linear region, and 2)ย hasย anย infiniteย permeability,ย i.e.ย thereย isย noย magneticย saturation.
Spaceย Vectors
At any instant of time, each phase winding produces a sinusoidal flux-density distribution (mmf) in the air gap. This is one of the most fundamental principles of the IM, the creation of a rotating and sinusoidally distributed magnetic field in the air gap. Figure 3.1a shows an idealized three-phase, two-pole IM where each phase winding in the stator and rotor is represented by a concentrated coil. This three-phase windings (either in wye or delta form) are distributed sinusoidally in space and embedded in slots [16, 17]. Neglecting the effect of slots and space harmonics due to winding distribution, it can be shown that a sinusoidal three-phase balanced power supply in the three-phase stator windings creates a synchronously rotating magnetic field.
CHAPTER FOUR
Scalarย Basedย Controlย Schemes
Scalarย Control
Induction motors have different ways they can be controlled. The simplest methods are based on changing the structure of stator winding such as the wye-deltaย switching to change or reduce the starting current, pole changing, i.e. changing the number of magnetic poles on the stator etc. However in modern adjustable speed drives (ASDs), it is the stator voltage and current that are subject to control and in the steady state, are defined by the magnitude and frequency; and if these are the parameters that are adjusted, the control technique belongs in the class of scalar control [17]. Kazmierkowski [57] further explains that the control scheme is based on steady-state characteristics, which allows stabilization of the stator flux magnitude ฮปsย forย differentย speedย andย torqueย values.
CHAPTER FIVE
Variableย Structureย Directย Torqueย Controlย ofย the Induction Motor
In high-performance drive systems, in which control variables include the torque developed in the motor, vector control methods are necessary [17]. In chapter two the DTC control technique was introduced and the principle of encoder-less operation was enumerated. Also the sliding mode theory was introduced and conditions for existence and stability was presented. The analysis of the IM carried out in chapter 3 establishes the mathematical requirement for the implementation of the sliding mode DTC control scheme. Two different sliding surfaces for flux and torque will be designed so that the error between reference and actual values are driven to respective sliding surfaces where the error is enforced to zero.
Theย proposedย schematic,ย ofย theย driveย systemย isย presentedย inย Figureย 5.1ย comprisingย ofย the powerย circuit,ย theย co-ordinateย transformsย fromย dqย toย abcย coordinates,ย theย estimatorย block and the sliding mode controller. The estimator and sliding mode controller block is explainedย inย theย nextย sections.
CHAPTER SIX
Results andย Discussion
V/f Experimentalย Results
Signalย generatedย inย theย laboratoryย forย theย v/fย controlย areย presentedย inย thisย section.ย Initially, theย SPWMย wasย designedย usingย analogย andย logicย circuits,ย theย circuitย andย signalsย obtained haveย beenย discussedย inย SPWMย sectionย ofย Chapterย 4.ย Theย six-stepย waveย wasย generatedย and appliedย inย theย eventualย designย andย implementationย ofย theย v/fย driveย discussedย inย Chapterย 4. Resultsย forย theย step-waveย operationย includeย theย phaseย andย lineย voltagesย obtainedย atย the outputย ofย theย three-phaseย inverterย andย theย v/fย graphicalย outputย fromย theย controlย logic circuit.
Six-step Outputย Voltage
Figureย 6.1ย showsย theย outputย voltageย waveformsย forย theย six-stepย operationย ofย theย voltage- fedย three-phaseย inverter.ย Figureย 6.1aย showsย theย lineย voltageย outputย whileย (b)ย showsย the phase voltage waveform. This waveforms match the MATLABยฎ simulated output, hence theย resultsย areย satisfactory.
Theย logicย circuitย controlsย theย ratioย ofย voltageย toย frequency.ย Theย circuitย wasย testedย at differentย stepย voltagesย (2ย units/step)ย toย checkย theย resultingย changeย inย frequency.ย Theย graph ofย voltageย perย frequencyย isย plottedย inย Figureย 6.2.ย Theย solidย lineย showsย theย measuredย voltage- to-frequencyย obtainedย fromย theย laboratoryย implementationย whileย theย dashedย lineย shows theย desiredย linearย voltage-to-frequencyย ratioย plot.
CHAPTER SEVEN
Conclusion andย Recommendations
Conclusion
The two techniques employed in this research work are the constant volts/hertz controland the direct torque control using the sliding mode approach. Depending on the purpose and application of the drive, both techniques are able to achieve speed control.
Theย V/fย control is one of the most popular control techniques and possessing a simple algorithm with no dependence on sensors and no requirement of speed measurement (as it can operate in open-loop). It is a much simpler control strategy than the DTC control and does not require high performance digital processing. The V/fย drive response to torque is poor compared to the DTC drive but can be employed efficiently where precise speed control is not critical.
Speed and torque control of induction motor is usually attained by application of speed or position sensors, and its implementation is straightforward. However, the use of these encoders require the additional mounting space, reduction in reliability of the system in harsh environments [79] (such as vibrations from the EV) and also increase in the cost of motor drive. Furthermore, the encoders used for position and speed measurement may lead to problems. Faults such as loss of output information, offset, disturbances, measurement deviation [80], and so on, may occur. On the other hand, encoderless DTC control of induction motor drives estimates position using an observer and eliminates the need for the speed sensor. It reduces hardware complexity, size, maintenance and ultimately cost. It also eliminates direct sensor wiring and has been shown to have better noise immunity [81] and increased reliability.
The objective of the DTC is to maintain the motor torque and stator flux within a defined band of tolerance, hence it requires an accurate knowledge of the magnitude and angular position of the controlled flux. But its greatest drawback is the sensitivity to uncertainties in the motor parameters. The speed estimation is affected by parameter variations especially the stator resistance due to temperature rises, particularly at low speeds which may cause significant performance degradation and even instability of the system.
The sliding mode approach to the drive design is to ensure the stability and high performance levels in spite of the disturbances and mismatches. The sliding mode controller is designed to drive, force and confine the system state to lie within a very small neighbourhood of the switching function despite the disturbances and perturbations in harsh EV environments, and variations in IM parameters. The ease of implementation and relatively short computation required in the implementation of SMC in microcontrollers is an advantage of this technique.
The result of this study is an SM-DTC controller design which eliminates some limitations of the two individual controls and retains their merits. The performances of SM-DTC IM drive even in the presence of parameters uncertainties and mismatching disturbances has been presented. The drive delivers high performance and quicker response and can be applied in EV with satisfactory performance.
Recommendations
Modifications and improvement can be made in the control scheme such as an improved filter and observer design of the sliding mode controller also the design of an adaptive algorithm for increased robustness and reduced sensitivity to disturbances. The SM-DTC concept discussed so far remains theoretical until it is implemented, thus implementation is recommended and is possible with the use of microprocessors for computations.
REFRERENCE
- Dewan, G. Slemon and A. Straughen, Power Semiconductor Drives, Toronto, Ontario: John Wiley & Sons, 1984.
- Reddy, Fundamentals of Power Electronics, Harrow, UK: Alpha Science International Ltd, 2007.
- Leitman and B. Brant, Build Your Own Electric Vehicle, 2nd ed., The McGraw-Hill Companies, Inc.: New York, 2009.
- Uzuka, โFaster than a Speeding Bullet. An Overview of Japanese high-speed rail technology and electrification,โ IEEE Electrification. Sparking Innovation., vol. 1, no. 1, pp. 11-20, 1 September 2013.
- Larminie and J. Lowry, Electric Vehicle Technology Explained, 2nd ed., Wes Sussex,UK: John Wiley & Sons, Ltd., 2012.
- Ehsani, Y. Gao and A. Emadi, Modern Electric, Hybrid Electric, and Fuel Cell Vehicles. Fundamentals, Theory and Design, 2nd ed., FLorida: CRC Press, 2010.
- Chan and K. Chau, Modern Electric Vehicle Technology, New York: Oxford University Press, 2001.
- Westbrook, The Electric car. Development and future of battery, hybrid and fuel-cell cars, London & Warrendale: The Institute of Electrical Engineers (IEE), London, UK and Society of Automotive Engineers, Warrendale, PA., 2001.
- Husain, Electric and hybrid vehicles: Design Fundamentals, Florida: CRC Press, Francis & Tayor Group, LLC, 2005.
- Estima and A. Cardoso, โEfficiency Analysis of Drive Train Topologies Applied to Electric/Hybrid Vehicles,โ IEEE Transactions on Vehicular Technology, vol. 61, no. 3, pp. 1021- 1031, 2012.
- Xue, K. Cheng and N. Cheung, โSelection of Electric Motor Drives for Electric Vehicles,โ in Power Engineering Conference, AUPEC ’08. Australasian Universities, Sydney, NSW, 2008.
- Toliyat and G. Kliman, Handbook of Electric Motors, 2nd, Revised and Expanded ed., Florida: CRC Press, 2004.
- Kar, K. Iyer, A. Labak, X. Lu, C. Lai, A. Balamurali, B. Esteban and M. Sid-Ahmed, โCourting and Sparking,โ IEEE Electrification: Sparking Innovation, vol. 1, no. 1, pp. 21-31, 1 September 2013.