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High Performed Fuzzy Controlled Operation of Induction Motor Jithin P1,Dr.T.Govindaraj2 M.E.PED Scholar,Head of the Department, EEE Muthayammal Engineering College, India [email protected] Absract: This paper proposes fuzzy based current control in the field weakening region of induction motor. In this project it proposes an expert controller before current regulators to process current command and thus avoiding unreasonable fast tuning in the highspeed flux weakening region so as to keep current command followed by actual current. The proposed topology consist of a single phase ac input source,three phase IGBT inverters ,fuzzy inference mechanism and a capacitor filter is used. Thus proposed fuzzy inference controller is to handle the current commands before current regulator and this is based on the consideration of the bandwidth decreasing and for the critical voltage limitation.At the load one induction motor is connected , here current control of motor is done with the help of a fuzzy controller.Simulation and experimental results are provided to verify the stability of current control. Index terms- Field weakening, induction motor, fuzzy inference. current the extended high speed. Recently proved that in ,most of the research on the current control in the flux weakening operation region is below 2 to 3 times of the base speed. The most worse is that current regulators are too unstable, and they even result in damage to insulation gate bipolar transistors (IGBTs) and drive equipment in some cases. In the view of temperature variable, magnetic hysteresis and some other reasons, parameters are mainly variable. Mostly the existing research focuses on flux weakening control, strategy optimization and current regulators design. In induction motor, the stator winding is fed from 3-phase supply. The electromagnetic induction is the mechanism in the I. INTRODUCTION rotor winding. Generally the flux weakening strategy In the fast running world the main problem is the are of two types. They are robust and model based. current global energy crisis. So the focus is on The model based method uses motor parameters and efficiency and delivering high performance, while dc bus voltage to calculate current references.The consuming less power for the electronic components. ideal optimal current trajectory which consists of the As a result of this crisis, various agencies around the maximum torque per current trajectory at a specified world have or are looking to increase their efficiency speed is determined under the voltage and current standards for numerous products in their respective limitation due to the motor and inverter capacity. In specifications. In general among the motors,the the proposed flux weakening scheme realises the induction motors (IM) are widely accepted as the smooth transition between control modes and most promising candidate for electric propulsion of winding resistance is accounted for the speed range. hybrid electric vehicles (HEVs) and electric vehicles Although the model based control guarantees the ,due to their reliability, ruggedness, low maintenance, stability and fast transient response, they are low cost, and the ability to operate in fast mode for extremely sensitive to the motor parameters and 1 operating conditions.In the flux weakening region, the current distribution (ids and iqs) is absolutely important to the torque capability . There two major flux weakening optimal strategies is to achieve maximum torque capability. First, ids and iqsare calculated by the IM parameters Secondly, ids and iqsare selected by utilizing voltage regulators and the flux regulator . Fig.1 Flux Weakening Strategy. The current regulators forming the inner This is critically limited as a result the differential loop of the IFOC system are able to regulate the ac term cannot be ignored. Thus the proposed fuzzy current over a wide frequency range with high bandwidth and zero steady-state error inference controller to handle the current commands by before current regulator, it is based on the proportional-integral (PI) regulators. Anyways, there consideration of the bandwidth decreasing and the will be cross coupling between ids and iqs that is critical proportional to the frequency of the fundamental voltage limitation .This also avoids unreasonable fast tuning of current concerning the excitation. As a result of this , the performance of the bandwidth of regulators and limit the current margin current regulator has been shown to degrade as the concerning the valid voltage. excitation frequency increase. To eliminate the crosscoupling influence, the complex vector synchronous frame the PI current regulator was introduced in. A II. FLUX WEAKENING STRATEGY similar solution was proposed in using an internal model control formulation and by using the complex In the flux weakening strategy analysis is in order to vector current control approach generalized with a produce the maximum current q axis component is transfer function matrix. These schemes do not proportional to current. .The basic strategy is that iqs eliminate the ultimate influence of the interval delay is inversely propotional to speed.. The fig 1 shows caused by PWM and digital implementation .The the advanced flux weakening strategy..The fig.1 stability of the current controller depends mainly on shows the advanced flux weakening strategy in which the bandwidth of the voltage that can be utilized. In magnetizing current is inversely proportional to the existing system approach the bandwidth of the speed. This approach need to add just one regulator. current regulators is decreased and voltage is The method does not optimize maximum torque critically limited in the high speed flux weakening capability because it cannot modify iqs aacording to region. In voltage model the direct and quadrature our reqirement.Thus the commonly used flux axis of rotating synchronous coordination are weakening strategies are constant voltage constant computed to obtain mainly the synchronic angular power control, constant current constant power and speed, direct axis stator flux magnitude and optimum current vector control.This figure explains quadrature axis stator flux magnitude. us the flux weakening strategy as a whole. The two methods are explaind earlier in the context. 2 III. BLOCK DIAGRAM DESCRIPTION AC SUPPLY AC-DC RECTIFIER THREE PHASE INVERTER 12V DC SUPPLY DRIVER UNIT 5V DC SUPPLY FUZZY BASED PIC CONTROLLER INDUCTION MOTOR Fig. 2. Block diagram for proposed fuzzy controlled induction motor. In the fig.2 the induction motor is controlled by the three phase inverter .The block diagram consist of input supply, driver unit and a fuzzy based PIC controller. energy source 230V-50Hz and stepping down transformer, rectifier, filter and voltage regulator. Rectifier Unit :In the power supply unit, rectification is normally achieved using a solid state Input Source :As we know for the circuit given we are giving a ac supply to the ac-dc rectifier . A dc supply is given to the driver unit and to the control algorithm. The ac output is given to the induction motor after rectification. As we know any invention of latest technology cannot be activated without the source power. So in this fast moving world wide liberately need proper power source which will be apt for a particular requirement. All the electronic components starting from diode to Intel IC’s work with DC supply ranging from +5v to +12v.We are utilizing the same cheapest and commonly available diode. Diode has the property that will let the electron flow easily in one direction at proper biasing condition. An AC is applied to the diode, electrons only flow when the anode and cathode is negative. Reversing the polarity of voltage will not permit electron flow. A commonly used circuit for supplying large amounts of DC power is the bridge rectifier. A bridge rectifier of four diodes (4*IN4007) are used to 3 achieve full wave rectification. Two diodes conduct simple, rugged, low-priced, easy to maintain and can during negative half cycle and the other two during be manufactured with characteristics to suit most positive half cycle. The DC voltage appearing across industrial requirements. Like any electric motor, a 3- the output terminals of the bridge rectifier will be phase induction motor has a stator and a rotor. The somewhat less than 90% of the applied RMS value. stator carries a 3-phase winding (called stator Normally one alteration of the input voltage will winding) while the rotor carries a short-circuited reverse the winding (called rotor winding). Only the stator transformer will therefore always be 180 degree out winding is fed from 3-phase supply. The rotor of phase with each other. For a positive cycle, two winding derives its voltage and power from the diodes are connected to the positive voltage at the top externally winding and only one diode conducts. At the same electromagnetic induction and hence the name. The time one of the other two diodes conducts for the induction motor may be considered to be a negative voltage that is applied from the bottom transformer with a rotating secondary and it can, winding due to the forward bias for that diode In this therefore, be described as a “transformer-type” ac. circuit due to positive half cycle D1 and D2 will machine in which electrical energy is converted into conduct to give 10.8V pulsating DC. The DC output mechanical energy. the polarities. Opposite ends of energized stator winding through has a ripple frequency of 100Hz.Since each alteration Advantages of Induction motor: produces resulting output pulse, frequency=2*50Hz. The output obtained is not pure DC and therefore It has simple and rugged construction. filtration has to be done. It is relatively cheap. Bridge Rectifier :Here bridge rectifier is coming as a It requires little maintenance. part of resonant converter .The ac voltage coming It has high efficiency and reasonably good power after resonant inverter is the input to this bridge factor. rectifier. Here the rectifier is in uncontrolled manner It has self starting torque. with diode switches. It is very cheap and simple. This rectifier converts ac to dc output and fed to capacitor Three Phase Inverters :Three-phase inverters are filter to reduce the ripples in the output voltage. Then used for variable-frequency drive applications and for the output dc is fed to induction motor. high power applications such as HVDC power transmission. A basic three-phase inverter consists of Induction Motor : The three-phase induction motors three single-phase inverter switches each connected are the most widely used electric motors in industry. to one of the three load terminals. For the most basic They run at essentially constant speed from no-load control scheme, the operation of the three switches is to full-load. However, the speed is frequency coordinated so that one switch operates at each 60 dependent and consequently these motors are not degree point of the fundamental output wave easily adapted to speed control. We usually prefer dc. motors when large speed variations are required. Nevertheless, the 3-phase induction motors are 4 IV. CIRCUIT DIAGRAM DESCRIPTION Fig.3. Circuit diagram for proposed fuzzy controlled induction motor drive Here Fig 2 shows the proposed circuit diagram of applied to the diode, electrons only flow when the the ac to dc converter using fuzzy controller for an anode and cathode is negative. Reversing the polarity induction motor is shown above. Here the driver of voltage will not permit electron flow. As we know circuit is the key part, output from inverter is any invention of latest technology cannot be activated effectively utilized for driving a induction motor, and without the source power. So in this fast moving motor controlling is done with the help of a fuzzy world we deliberately need proper power source controller. In the circuit consists of an ac supply at which will be apt for a particular requirement. All the the input , this given to the rectifier for conversion electronic components starting from diode to Intel between the rectifier and three phase inverter. . Here IC’s work with DC supply ranging from +5v to +12v. the induction motor is connected at the ouput We are utilizing the same cheapest and commonly side..thus the proposed system includes appropriately available energy source 230V-50Hz and stepping sized power supply unit, rectifier and voltage source down transformer, rectifier, filter and voltage inverter to energize the Induction motor. along with regulator. Filter circuits which are usually capacitors this auxiliary power supply unit also considered to acting as a surge arrester always follow the rectifier energize the control equipments. The rectification is unit. The capacitor is also as a decoupling capacitor normally achieved using a solid state diode. Diode or a bypassing capacitor, is used not only to ‘short’ has the property that will let the electron flow easily the ripple with frequency . in one direction at proper biasing condition. As AC is 5 performance than the conventional PI control. The fuzzy algorithm is based on the human intuition and experience and can be regarded as a set of heuristic decision rules. It is possible to obtain very good performance in the presence of varying load conditions and changes of mechanical parameters and inaccuracy in the process modeling .Comparing the traditional current control in IFOC, an expert controller is added to preprocess current commands before the current regulators. The expert controller based on the fuzzy inference consists of the following Fig.4 Fuzzy Controller Block components. They are knowledge database, the fuzzy inference V. PRICIPLE OF OPERATION mechanism and the characteristics recognition. The feature recognition records the waveform features of idsfed, iqsfed, vds, and vqs. The operation of the induction motor in this When a period of the tuning ends, it calculates paper is by implementing the new expert controller mainly the properties of the current control, such as so as to improve the performance .This is done using the rise time, the ratio of attenuation and the the fuzzy controller. The fuzzy control is explained in oscillation period. The characteristic recognition detail. provides references for the fuzzy inference FUZZY LOGIC CONTROLLER : mechanism . Fuzzy logic (FL) is one of the main INTRODUCTION artificial intelligent techniques. Fuzzy logic apart In the recent years the fuzzy logic has from Boolean logic, deals with problems that have become popular in many applications of electrical fuzziness or vagueness. The classical set theory is drives and control, where classical PI controllers based on Boolean logic, where the particular object were used. Several design techniques exist to tune or variable is either a member of a given set (logic 1), the classical PI controller parameters, but they can be or it is not (logic 0). On the other hand, in fuzzy set time consuming and moreover fixed controller theory is based on the fuzzy logic, where in a settings cannot usually provide good dynamic particular object has a degree of membership in a performance over the whole operating speed range of given set that may be anywhere in the range of 0 the drive. Varying load conditions, changes of (completely not in the set) to 1 (completely in the mechanical parameters and process non linearity and set). For this reason, FL is often defined as multi- inaccuracy in the process modeling can cause valued logic, compared to bi-valued Boolean logic by degradation of the performance. Fuzzy control B.K. Bose, in 1986. The self-tuning mechanism technique does not need accurate system modeling. It consists of a performance model, an evaluation block employs the strategy adopted by human operator to and a fuzzy logic control (FLC) block. This control reference complex process and gives superior 6 model defines the desired dynamic performance of the motor drive. It is selected based depends on the bandwidth of current regulators and on the maximum performance of the drive and to the voltage that can be utilized in the mechanism.. As avoid the excessive control action. For the IFOC of previously mentioned , the bandwidth of current the induction motor, the reference model can be regulators is decreased and voltage is critically approximated by a second order system. Mainly the limited in high-speed flux weakening region. The second order model is obtained from the procedure differential items are always ignored by considering used in and the constants a and b are adjusted to the stable condition. However, it is unreasonable meet the specific requirements of the induction when a motor is in dynamic process because the motor. differential items take an important part in the valid The actual speed of the motor ωr is voltage. Particularly, when a motor is in high-speed compared with the output from reference model ω’r , flux weakening region, the valid voltage except to generate the speed signal e’r , which is the CEMF is mostly critically limited. As a result of this, difference between ωr and ω’r . The error signal is the differential items cannot be ignored any more. given as an input to the evaluation block. The For improving the current control stability in high- evaluation block is designed in such a way that, if the speed flux weakening region, a fuzzy inference error signal is within + 1 rad/sec, the self-tuning expert controller is proposed to handle current mechanism will not operate perfectly . If the error e’r commands before current regulators. This is based on exceeds the specific range of ±1 rad/sec, the the consideration of the bandwidth decreasing and the evaluation block generates the tuning error e ω which critical voltage limitation. The controller performes is given as an the input to the fuzzy logic control mainly has two purposes. Firstly, it can avoid (FLC) block. The first input is error ‘e’ and second is unreasonable fast tuning of current concerning the the change in error ‘ce’ at the sampling time ‘ts,. The bandwidth of regulators. Secondly, it can limit the two input variables are calculated e(ts) and ce(ts) at current margin concerning the .valid voltage. every sampling time as e(ts) = ωr*(ts) – ωr(ts) ce(ts) Comparing with the traditional current control in = e(ts) - e(ts-1) Where ‘ce’ denotes the change of IFOC, an expert controller is added to preprocess error ‘e’, ωr*(ts) is the reference rotor speed , ωr(ts) current commands before the current regulators. The is the actual speed, e(ts-1)is the value of error at expert controller based on the fuzzy inference previous sampling time. The output variable is the consists of the following parts , knowledge database, change in torque ΔT which is integrated to get the the reference torque as shown in the equation T*(ts) = characteristics recognition. The feature recognition T*(ts-1) + ΔT . records the waveform features of idsfed, iqsfed, vds, fuzzy inference mechanism and the and vqs. When a period of the tuning ends,it The fuzzy logic controller has four functional calculates the properties of the current control, the blocks. They are the Fuzzification, Interference rise time, the ratio of attenuation and oscillation mechanism, knowledge the fuzzy inference.base and period. These are the main properties of fuzzy Defuzzification. The stability of a current control inference. 7 . Fig..5 Main Simulation Circuit. Fig..6 Simulation of Three phase inverter circuit. VI. EXPERIMENTAL RESULTS Fig.7 Sub System Circuit The proposed circuit is developed and analyzed with MATLAB simulation circuit diagram, resultant MATLAB software. for analysis of the current waveforms for converter output voltage, current and controlling for the field weakening operation and motor speed is given below. output voltage is fed to an induction motor. 8 current commands.This is done in order to avoid the Resultant Waveforms : unreasonable variation of current commands. The extensive simulation have been performed and the results verify that the performance of current control has been improved. Thus it is proved tha the scheme proposed is very much effective. REFERENCES [1] H. Liu, Z. Q. Zhu,Y. Fu, and X. Qi, “Fluxweakening control of nonsalient pole PMSM having Fig 8 .Inverter Output voltage large winding inductance, accounting resistive voltage drop and inverter nonlinearities,” IEEE Trans Power Electron., vol. 27, no. 2, pp. 942–952, Feb. 2012. [2] M. Mengoni, L. Zarri, A. Tani, G. Serra, and D. Casadei, “A comparion of four robust control schemes for field-weakening operation of induction motors,” IEEE Trans. Power Electron., vol. 27, no. 1, pp. 307–320, Jan.2012. Fig. 9 Motorcurrent, speed and torque [3] D. Zhang, F. Wang, S. EI-Barbari, J. A. Sabate, and D. Boroyevich, “Improved asymmetric space vector modulation for voltage source converters with low carrier ratio,” IEEE Trans. Power Electron., vol. 27, no. 3, pp. 1130–1140, Mar. 2012. VII. CONCLUSION In this new proposed paper a simplified flux [4] GovindarajThangavel,” Finite Element Analysis of the Direct Drive PMLOM” In book: Finite Element Analysis - New Trends and Developments, Chapter: 6, InTech online Publisher,10 Oct 2012 . weakening strategy for engineering application is introduced. This strategy can improve the current control performance significantly even in too high flux level. This paper thus investigates the influence [5] D. Casadei, M. Mengoni, G. Serra, A. 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