Vector Control Of Motor Research Articles

A Novel Chaotic Switched Modulation for EMI Suppression in Electrical Drive System

In electric drive systems common mod voltage (CMV) is known as voltage between power line and ground. CMV causes negative effects on both electric engine and its driver whereas switching operation occurs in power devices. In addition switching frequency and its multiples in CMV cause electromagnetic and aqustic noises. In this paper a novel Fixed-Frequency chaotic switched sinusoidal pulse width modulation (FFCS-SPWM) is proposed. The cruial point in proposed FFCS-SPWM method is to obtained a new carrier wave by summation of carrier wave and its inverse form. In FFCS-SPWM method extra switching loses were reduced due to constant switching frequency. This method also applied to permanent magnet synchronous motor (PMSM) vector control system. The reduction of electromagnetic interference (EMI), aqustic noises and dv/dt stress effects that occur in CMV is simulated by proposed method. Moreover SPWM combined with chaotic-frequency chaotic switched (CFCS) is proposed to reduce the differential mode voltage (DMV) which occurs due to voltage between lines . Finally in this method switching frequency change chaotically and also in this paper it shown that, CFCS-SPWM provides to reduce EMI, aqustic noises which are caused by CMV and DMV

Adaptive MPPT of Water Photovoltaic Pumping System Based on Vector Controlled Induction Motor Drives

In this paper, the maximum power point (MPP) of photovoltaic (PV) for vector control of an induction motor (IM) driving water is achieved. This paper implements and analyzes the maximum power point tracking (MPPT) in one stage. The vector control scheme for an induction motor has been introduced to improve the reliability of the PV system. Furthermore, the Adaptive incremental conductance (AINC) method has been applied to track the maximum power point (MPP) of the PV plant. Additionally, the principles of vector control of an induction motor are used for voltage source inverter fed induction motor pumping system. The control scheme is simulated and validated considering the environmental conditions such as solar radiation and temperature. The scheme has been validated through MATLAB/SIMULINK. The obtained results and analysis authorize that, the proposed control system is accurate and effective. In addition, the results show that, the induction motor drive is stable during dynamic and ‎steady-state conditions.‎

A New Flux Observer and Simplified ADRC Controllers for SSTEKF Sensorless Vector Control of an Induction Motor

A New Flux Observer and Simplified ADRC Controllers for SSTEKF Sensorless Vector Control of an Induction Motor

Improved performance of photovoltaic array for water pumping by fuzzy control in sensorless vector control of induction motor drive

This paper presents the improvement in the performance of photovoltaic array for water pumping system by introducing fuzzy control in Sensorless vector control of induction motor drive instead of PI control. The design of the proposed system was made in MATLAB/Simulink. The motor speed was estimated from estimated flux of stator. The fuzzy control in system has remarkable advantages than conventional drive. This proposed system has solar photovoltaic (PV) array, three phase voltage source inverter (VSI), vector controlled induction motor drive and motor pump. An incremental conductance algorithm has been used to achieve maximum power utilisation from solar PV array. It was observed that solar parameters, torque were improved, peak over shoot was much smaller and speed was controlled by introducing Fuzzy logic controller in vector control of induction motor drive compared to PI controller system. Steady state condition of different parameters was obtained in very fast and less time. The deviations in estimated speed and sensed speed of motor drive were decreased and well matched within fraction of seconds.

Vector Control of Induction Motor Using Neural Networks Based Lookup Table for Reduced CMV

This paper confers a vector control (VC) perspective for induction motor drives by combining the principles of vector and direct torque control (DTC) methods. In classical vector control, the switching states will be chosen dependent on current hysteresis regulators. Based on the instantaneous current waves, the hysteresis controllers generate the switching specimen. But, the classical DTC selects the pertinent voltage vector from lookup table extracted from the flux and torque error signals and sector information. The proposed perspective combines both VC and DTC techniques. In this paper d and q-axis current errors and sector information, the lookup table chooses an appropriate voltage vector. Moreover, to select the befitting voltage vector Neural Network (NN) based approach is presented in this paper. Also, to reduce the common mode voltage (CMV) variations, NN based lookup tables are proposed. To substantiate the proposed NN based vector control, simulation studies have been conveyed and results are collated.

Research about the Sensorless Vector Control of Permanent Magnet Synchronous Motor Based on Two-stage Filter Sliding Mode Observer

In order to overcome the disadvantages of installing mechanical sensors and the problems of chattering and low observation accuracy in traditional sliding mode observer sensorless control, a two-stage filter Sliding Mode Observer (SMO) is proposed in this paper. By collecting the current and voltage of the Permanent Magnet Synchronous Motor (PMSM), the SMO algorithm is realized by using the state equation of the motor in the synchronous stationary coordinate system; the position of the rotor is estimated by the arc tangent function, the observation accuracy of the rotor position is improved by increasing phase compensation; the variable cut-off frequency filter is introduced to make the Low Pass Filter (LPF) cut-off frequency can be self-adjusted with the change of rotational speed, which improves the estimation accuracy of rotor position at different rotational speeds. Kalman filter is introduced to form a two-stage filter with variable cut-off frequency LPF, which greatly weakens the chattering of the motor and reduces the observation error. Finally, the simulation is carried out under MATLAB/Simulink. The simulation results show that the PMSM vector control system with two-stage filter sliding mode observer has high estimation accuracy, good dynamic and steady-state performance, strong anti-jamming ability and robustness.

Research on Coordinated Control of Dual Motors Based on DSP

In order to save energy and reduce emissions, improve the ecological environment and achieve sustainable development, the research and development of electric vehicles has become a common consensus in all countries in the world. As the core component of electric vehicles, the requirements for drive motors are getting higher and higher. The control strategy of the dual-stator motor is based on the mature vector control method of the traditional PMSM. The two sets of three-phase windings are transformed at the same time by rotating coordinate, and the vector control under the dual synchronous rotating coordinate is realized through separate decoupling; the control system uses TMS320F28335 as the control core, equipped with The dual stator motor vector control system makes full use of chip resources to realize the functions of rotor position detection, two-winding current and voltage acquisition and IGBT drive at the same time to complete the torque control of the two stator windings. It is verified by experiments that the control system meets the requirements of electric vehicle power system, with simple structure and strong practicability.

Adaptive Cutting Control for Roadheaders Based on Performance Optimization

Aiming at addressing the problems of high specific energy consumption for cutting and slow response to the change of hardness in the control of existing mining roadheaders, an adaptive variable speed cutting control method based on cutting performance optimization is proposed by analyzing the working principle of roadheaders. Firstly, cylinder pressure and motor current are invoked as the criteria to judge load changes. Particle swarm optimization is utilized to optimize the cutting parameters under different impedance. Then, the relation between cutting speed, motor current and cylinder pressure is established by using fuzzy neural network to train cutting parameters and identification parameters under different conditions. Finally, the vector control of motor and electro-hydraulic servo valve is used to control the cutting speed. The results show that the cutting unit can adapt to different load signals and always keep the roadheader in the optimal working state. The rotation speed regulation of the cutting head reaches the stable state after 0.05 s, with the overshoot of 1.42%. The swing speed regulation of the cutting head reaches the stable state after 1 s, with the overshoot of 5.3%. Conclusions provide a basis for improving the cutting efficiency and prolonging the working life of the roadheader.

Auto Disturbance Rejection Control Strategy of Wind Turbine Permanent Magnet Direct Drive Individual Variable Pitch System Under Load Excitation

The wind turbine blades have complex stress states, and the load has the characteristics of time-varying and uncertainty. Aiming at the interference problem caused by complex and variable load characteristics to the individual pitch control system, combined with the variable-pitch load characteristics, based on the permanent magnet synchronous motor (PMSM) vector control strategy and LADRC (Auto Disturbance Rejection Speed Controller), an individual pitch speed controller is designed. Linear expansion state observer is built. The control algorithm is deduced and the relationship between each control parameter is analyzed to improve the anti-interference ability of the system to the abrupt load of the pitch. On this basis, the system position tracking controller is built. Finally, a vector control simulation model was built based on MATLB/Simulink, and a speed control simulation was carried out. The simulation results show that LADRC has a strong anti-load disturbance capability, and has better anti-disturbance resistance than PID speed control, and the position controller based on this has a better position tracking effect. At the same time, the effectiveness of the designed independent pitch speed controller has also been verified through experiments. It is of great significance for improving the conversion efficiency of wind energy.

Simulation of Vector Control System of Permanent Magnet Synchronous Motor

The article analysed and studied the structure performance and mathematical model of the permanent magnet synchronous motor, and it further researched the principle of vector control technology and the SVPWM algorithm on this basis. A closed-loop simulation model of permanent magnet synchronous motor speed/current was built. The waveform of the simulation result is consistent with the theoretical analysis, which verifies the effectiveness of the simulation experiment platform and mathematical model. It also verifies the superiority of the id=0 control algorithm and vector control. A theory for the research and design of the permanent magnet synchronous motor vector control system basis is provided.

Landmark operator inspired artificial bee colony algorithm for optimal vector control of induction motor

In recent years, soft computing strategies have played vital role to solve optimisation problems associated with real world. In this paper, an efficient soft computing strategy namely, artificial bee colony algorithm (ABCalgo) is modified with incorporating landmark operator. The proposed modified ABC algorithm is named as landmark inspired ABC (LMABC). The performance of LMABC is evaluated on benchmark functions. Further, the proposed LMABC is applied for vector control of induction motor (IM) and subsequently to improve its efficiency. The vector control of IM includes control of magnitude and phase of each phase current and voltage. In this research paper the field orientated control, a digital implementation which demonstrates the capability of performing direct torque control, of handling system limitations and of achieving higher power conversion efficiency is considered. The obtained outcomes are significantly better than other state-of-art algorithms available in literature.

Adaptive proportional-integral fuzzy logic controller of electric motor drive

This paper presents the indirect field vector control of induction motor (IM) which is controlled by an adaptive Proportional-Integral (PI) speed controller. The proposed solution can overcome the rotor resistance variation, which degrades the performance of speed control. To solve this drawback, an adaptive PI controller is designed with gains adaptation based on fuzzy logic in order to improve the performances of IM with respect to parameters variations, particularly the rotor resistance (Rr). The proposed control algorithm is validated by simulation tests. The obtained results show the robustness towards the load torque disturbances and rotor resistance variation of the adaptive Proportional-Integral fuzzy logic control with respect to classical PI control, and adaptive control based on rotor resistance observer.

Simulation of vector control of an asynchronous motor in a rotating system of coordinates

Simulation of vector control of an asynchronous motor in a rotating system of coordinates

Achievement of maximum energy efficiency through vector control of induction motor electric drive

Electric motors are the predominant driving devices globally, consuming electricity. For this reason, research aimed at minimizing their energy consumption is very relevant. The paper concerns an applied energy-saving method - vector control of an induction motor. With regard to this, a necessary condition for achieving maximum efficiency is to choose the optimal value of the magnetizing current. If the magnetizing current is not controlled properly, the result may be higher electricity consumption from a frequency-controlled motor than that of a direct-on-line power supply. In this case, a specific electric drive with certain parameters is analyzed. The research is based on a mathematical model, representing a system of differential equations, which is transformed and solved by appropriate software. The aim is to look for a minimum of electrical power losses. The physical side of the topic is treated exclusively without analyzing the economic benefits of the introduction of energy saving measures.

Sliding Mode Observer for Speed Sensorless Linear Induction Motor Drives

In this paper, a sliding mode observer (SMO) for the speed-sensorless direct torque vector control of linear induction motor(LIM) is proposed, considering the influence of dynamic end effects. The proposed SMO estimate the motor speed, the rotor flux, the angular position of the rotor flux, and the speed dependent parameter w, only by using the measured stator voltages and stator currents. The nonlinear sliding mode technique guarantees very good performance for different situations of motor speed. The proposed SMO does not use complicated observer gains and robust to the parameter variation over the full-speed range. Moreover, the convergence of SMO is proven by using the Lyapunov theory. Furthermore, LIM Drive state observability is presented with detailed analysis. The performance of the proposed SMO is verified by hardware-in-the-loop test (HIL) system. Furthermore, a comparative study with and Luenberger observer(LO) and model reference adaptive system(MRAS) is presented.

Вычислитель скорости для бездатчикового управления асинхронным двигателем

Half a century has passed since the time F. Blaschke received a patent for vector control of an induction motor with a speed sensor and a Hall sensor. Since that time, the transformation of generalized vectors in the Park—Gorev equations as projections on the axes in different coordinate frames aft, dq, and xy has been regarded to be a commonly accepted one. With this approach, five differential and four algebraic equations with cross-links have to be solved for studying the processes in an induction motor, which involves certain inconvenience of analyzing the processes in the machine. Eventually, many versions of high-quality electric motor control systems have been developed. Owing to the progress achieved in computer engineering, it has become possible to solve a fewer number of the Park—Gorev equations in complex form without decomposing the vectors into projections on the coordinate ases aft, dq, xy. At present, the majority of widely used programming languages (FORTRAN, C+, MathCAD, MatLAB, etc.) offer efficient tools for implementing the operations of summing and multiplying complex quantities. In the article, the Park-Gorev equations are solved without decomposing the vectors into their projections on the coordinate axes вб, dq, xy. In so doing, the induction motor complex speed observer uses only two voltage equations and two flux linkage equations. The rotor motion equation is not used to determine the speed. The obtained algorithms for solving by means of a complex speed observer made it possible to determine the currents, electromagnetic torque and motor’s moment of inertia. The proposed algorithms written in the б-в and x-y coordinate systems made it possible to determine the motor speed in its fast start-up process (0.2 s) with an error of less than 1%.

Landmark operator inspired artificial bee colony algorithm for optimal vector control of induction motor

Landmark operator inspired artificial bee colony algorithm for optimal vector control of induction motor

Vector control of permanent magnet synchronous motor connected to a photovoltaic system

Vector control of permanent magnet synchronous motor connected to a photovoltaic system

The Study on sensor-less vector control of linear induction motor

The Study on sensor-less vector control of linear induction motor

Dynamic Modeling and Vector Control of AC Induction Traction Motor in China Railway

Control of induction motor drive with high-performance characteristics has been developed by employing vector-control, direct-torque control also with the model predictive-control in this research paper. The coordinate transformation has been introduced and established with the mathematical-models of the induction motor(CRH3) in the two-phase rotating reference frame and the two-phase stationary reference frame. Along-with the discussion of vector control basic principle, the dynamic mathematical-model of the induction motor in the two-phase reference frame is presented. Also, the method of the rotor’s field orientation in the two-phase reference frame is presented. Based on some metro-traction motor parameters, a simulation has been presented. The simulation result verifies the principle, control performance, and characteristics of different control strategies, which are comparatively analyzed in detail.