Model Of PMSM Research Articles

Combined Riccati-Genetic Algorithms Proposed for Non-Convex Optimization Problem Resolution – A Robust Control Model for PMSM

Combined Riccati-Genetic Algorithms Proposed for Non-Convex Optimization Problem Resolution – A Robust Control Model for PMSM

Bearingless Permanent Magnet Synchronous Motor using Independent Control

Bearingless permanent magnet synchronous motor (BPMSM) combines the characteristic of the conventional permanent magent synchronous motor and magnetic bearing in one electric motor. BPMSM is a kind of high performance motor due to having both advantages of PMSM and magnetic bearing with simple structure, high efficiency, and reasonable cost. The research on BPMSM is to design and analyse BPMSM by using Maxwell 2-Dimensional of ANSYS Finite Element Method (FEM). Independent suspension force model and bearingless PMSM model are developed by using the method of suspension force. Then, the mathematical model of electromagnetic torque and radial suspension force has been developed by using Matlab/Simulink. The relation between force, current, distance and other parameter are determined. This research covered the principle of suspension force, the mathematical model, FEM analysis and digital control system of bearingless PMSM. This kind of motor is widely used in high speed application such as compressors, pumps and turbines.

VSI Nonlinearity Compensation Based on Extended PI Reference Model of PMSM

VSI Nonlinearity Compensation Based on Extended PI Reference Model of PMSM

Modeling and Simulation of PMSM Double-Loop Control System Based on Matlab/Simulink

A double-loop control system simulation model is created in Matlab/Simulink based on mathematical model of PMSM, as well, the structures and properties of each functional module are introduced in detail. The simulation results prove that the model was effective and it had good steady-state and dynamic tracking performance. Finally, experiments were carried out to prove the validity of the simulation model in the development of practical engineering.This model provides an effective auxiliary method for theoretical analysis and engineering design of PMSM double-loop control system.

The Vector Control of PMSM Based on the Inverse System Theory

Against the existing poor dynamic performance, difficult to adjusting parameters of the controllers issue in PMSMs vector control system, based on the PMSM's dq rotating coordinate model, an inverse system model of PMSM is deduced. And a pseudo linear system realizing the decoupling of the d-axis current and mechanical velocity is constructed. By synthesizing the pseudo linear system, a sliding mode variable structure controller is proposed. In order to estimate rotor's position and speed, a reduced order observer for back electromotive force is proposed. At last some simulations are proceeded to verify the proposed system's performance. The simulation results show that the control strategy mentioned in this paper has good dynamics, steady state performance. Rotors position and speed can be accurately estimated by the proposed method.

Simplified Model Reference Adaptive Method for Sensorless Vector Control of PMSM

Sensorless control of PMSM is becoming increasingly important among the whole control system. This paper introduced Integral Separation Technology to the PI regulators to decrease overshoot or oscillation of the system. In addition, on the basis of the mathematical model of PMSM, Vector Control System for PMSM is got. Then a simplified model reference adaptive method using the zero excitation current control to modify the adaptive rate is given. At last, the corresponding waveforms are presented and the reasonability and validity has been proved by the simulation.

A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive

In this paper, model reference adaptive system (MRAS) technique has been used for speed estimation in sensorless speed control of interior permanent magnet synchronous motor (IPMSM) with space vector pulse width modulation (SVPWM). Most of the current researches studying the MRAS technique are based on non-saliency PMSM model and ignore the difference between d- and q-axes inductances. This paper studies a novel MRAS observer, considering the saliency of PMSM. However, this sensorless speed control shows great sensitivity to stator resistance and system noise, particularly, during low-speed operation. A novel stator resistance estimator is incorporated into the sensorless drive to compensate the effects of stator resistance variation. A stability-analysis method of this novel MRAS estimator is shown. Stable and efficient estimation of rotor speed at low region will be guaranteed by simultaneous identification of IPMSM. The stability of proposed stator resistance estimator is checked through Popov's hyperstability theorem. The proposed observer is experimentally tested using a 1.1-kW motor drive; stable operation at very low speeds under different loading conditions is demonstrated. The real time implementation concept on the digital signal processor (DSP) board of the VFOC design and SVPWM inverter technique are illustrated. Results show that the proposed MRAS technique can satisfactorily estimate the position and speed of PMSM with saliency.

Control of Permanent Magnetic Spherical Motor Based on Torque-Sharing Strategy

In permanent magnet spherical motor control system, in order to obtain control current of the stator winding, it is required to solve the generalized inverse of the torque matrix of high dimension, which increases the computational burden of the control system. To solve this problem, the torque-sharing strategy of double-pole structure of PMSM was discussed. The target torque was decomposed into the rotation torque and the tilting torque through comparing the torque component of different stator windings. The set of control winding is divided. Further, according to the torque characteristics of a collection of internal stator winding and rotor position, an energizing strategy of the windings was developed, and the rotation and tilt torque control matrix were obtained, and two dimensional reduction matrixes reduced the computational burden. On this basis, the dynamics model and electrical model of PMSM were established, and the control system consisted of position loop and current loop. Control torque was obtained by the calculation of the torque method, and control current was obtained by torque-sharing strategy. Simulation results show that the system is able to achieve independent control of rotation and tilt and track the desired trajectory.

PMSM Control System Based on Digital Signal Processor

For the high power density of PMSM, designed the corresponding drive controller to improve the servo efficiency of PMSM servo system. According to the theory of math model of PMSM under the dq coordinate system, applied i d = 0 vector control method as a PMSM control strategy, established PMSM controller model based on vector control. Taking DSP TMS320F2812 as controller core, built a power-driven circuit, control circuit and the main detection protection circuit. The algorithm of control program was completed on the hardware platform to present its software processes. The simulation results show that: the control system response is fast, can track the given speed and position quickly and accurately. The speed fluctuation, overshoot and steady state error are very small. The designed controller is reasonable, which has better dynamic and static characteristics, and be benefit to improve the efficiency of PMSM servo system.

Research of overall control system for PMSM Based on Digital Signal Processor

With the rapid development of permanent magnet materials, power electronics and control theory, based on vector control of PMSM its excellent control performance, high power density and high efficiency, more and more used in a variety of high-performance servo systems and other fields of industrial production[1-2]. In recent years, the development of vector control theory and methods become mature gradually, the progress of integrated circuits and computer technology, the PMSM vector control system has been a great development. The vector control of PMSM based on the mathematical model in the dq coordinate system, through conversion of vector model, realize that it has completely decoupled control of stator current. It has like a DC motor control performance, and thus more widely applied[3]. This paper introduces the mathematical model of PMSM in the dq coordinate system, modeling and analysis of PMSM vector control strategies based on the 0 d i  , for DSP TMS320F2812 as controller core, built a power-driven circuit, control circuit, feedback circuit and the main auxiliary circuit. The algorithm of control program was completed based the hardware platform, and presented its software processes. Constitute a high-performance PMSM vector control system, and through experimental results demonstrate the superiority of the system.

Design and Simulation of PMSM Feedback Linearization Control System

With the theory of AC adjustable speed as well as a new control theory research is unceasingly thorough, the permanent magnet synchronous motor control system requires high precision of control and high reliability of the occasion, access to a wide range of applications, in the modern AC motor has play a decisive role position. Based on the deep research on the feedback linearization technique based on, by choosing appropriate state transformation and control transform, PMSM model input output linearization, and the design of the feedback linearization controller, realized PMSM decoupling control based on Matlab, and PMSM feedback linearization control system simulation. The simulation results show that, the system in a certain range of speed than the traditional PI controller has better control performance, but to the parameter variation has strong sensitivity. It also determines the direction for future research. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2192 Full Text: PDF

Sensorless rotor position estimation of PMSM by full-order and sliding mode EMF observers with speed estimate

The paper discusses the problem of rotor position estimation for the nonsalient PMSM and presents a Full-Order (FO) observer and a Sliding Mode (SM) observer; both are constructed using a speed estimate. The observers are developed using the PMSM model in the stationary reference frame and use the motor voltages, currents and speed as inputs. The PMSM is treated as a time-varying plant. Convergence is analysed assuming that the speed signal is inaccurate - this corresponds to the situation when a speed estimate is used to obtain a sensorless observer. Under improper speed, the FO observer gives errors; however, the SM observer can be forced to converge by increasing the gains. The SM structure proposed allows design of a variety of sensorless observers.

The EKF Senorless Control Strategy of Permanent Magnet Synchronous Motor Adaptive Backstepping Control System

For the unsatisfactory of the traditional linear control methods, on the basis of the mathematical model of PMSM, a combination of backstepping control method based on the Lyapunov function and adaptive control method is used in the speed control system of PMSM. A method of estimating the rotor position and speed based in extended Kalman filter (EKF) for PMSM is proposed. A simulation model of PMSM using the designed adaptive backstepping controller with EKF is built. The results of simulation using the control method show the preferably dynamic and stable-static performance of the system, and prove its effectiveness.

Sensorless PMSM Control for Automobile Air-Condition Based on Sliding Mode Observer

The paper presents a review of the sensorless position estimation algorithms which are being adopted by Automobile Air-condition. After analyzing and introducing of the sliding mode variable structure theory and the mathematic model of PMSM, the control strategy based on SMO and its math expression are presented. The simulation model in MATLAB/SIMULINK is established, in which the real rotor position and the estimated rotor position calculated by SMO under dynamic and static state are analyzed. Besides, the principle of sliding gain selection is raised. The simulation provides the theoretical foundation.

Mechanical and Electrical Coupling Vibration Characteristic Analysis of Power Train System for Electric Driven Vehicle

Determine the electrical and mechanical coupling modeling and analysis method of power train system for electric driven vehicle. Mechanical vibration mathematical model, rotation DQ axis mathematical model of PMSM and electrical-mechanical coupling model of Power-train System for a new energy vehicle are given. Numerical solution and parameter sensitivity analysis has been done. Consider the impact of temperature change, iron core magnetic saturation, motor torque fluctuations and load torque fluctuation on the system.

Electromagnetic Force Principles Study and Numerical Simulation of Permanent Magnet Synchronous Motor (PMSM) for Electric Mobile

Motors of electric automobile with low noise characteristics are increasingly in demand due to environmental considerations. The primary source of noise is attributed to electromagnetic noise, mainly affected by electromagnetic radial force. To obtain a better understanding of origination and components of radial force, in this paper, theoretically, calculate and analyze electromagnetic radial force principles; and establish 2-dimension CAE model of PMSM subsequently. After simulation and data analysis, in terms of time and frequency domain, respectively, calculate the numerical radial air-gap flux and radial force. Compare the theory with numerical results. To some extent, ratify the radial force theory of PMSM in electric vehicles.

Permanent Magnet Synchronous Motor Sensorless Vector Control

In order to test the Correctness of output characteristics in different parts in the designing process of AC servo system and provide it with necessary design parameters, the speed of PMSM control system and a electric double closed loop simulation model of the vector control PMSM are established on basis of AC by using Simulink toolbox in Matlab. Moreover, MATLAB simulation is also conducted and on this basis come up with the design project using infineon XC878 chip to realize the PMSM vector control system. The system testing results show that it has the characteristics of quick start and response and high precision．A feasibility proposal is provided by the system to the research and development of PMSM vector control system based on MCU.

Sensorless Parameter Identification Method for PMSM Based on Double Manifold Sliding Mode

An adaptive model reference parameter identification method without sensors for PMSM is presented in this paper and this method is based on double manifold sliding mode. The real model of PMSM is selected as the reference model and the d/q frame observer which is constructed using current model of the motor is selected as the adjustable model. The manifold sliding mode surface is constructed using the output (current in d/q frame) errors of the two models. Proper parameters are selected to guarantee the stability of the observer. The adjustable model converges to the reference model and the running state of motor can be identified. Theoretical analysis and simulation results show that the proposed strategy has high static and dynamic performance，high tracking precision as well as stronger robustness.

MATLAB/SIMULINK와 dSPACE 1104 시스템을 이용한 표면 부착형 영구자석 동기전동기 벡터제어

본 논문은 MATLAB/SIMULINK와 dSPACE 1104 시스템을 사용하여 표면부착형 영구자석 동기전동기 벡터제어를 구현하였다. 영구자석 동기전동기는 고정자 전류를 자속발생 전류성분과 토크발생 전류성분으로 분리하고 이를 각각 독립적으로 제어함으로써 타여자 직류전동기처럼 다루는 것이 가능하기 때문에 기존의 직류전동기 제어에 사용되던 각종 제어 알고리즘을 적용하는 것이 가능하게 된다. 본 연구에서는 표면 부착형 영구자석 동기 전동기의 벡터제어를 구현하기 위하여, 먼저 MATLAB/SIMULINK 프로그램으로 영구자석 동기 전동기를 모델링하고 속도제어 부에는 비례-적분 제어기를, 전류제어 부에는 비간섭 비례-적분 제어기를 설계하여 제어기의 응답을 미리 확인하였다. 그리고 설계된 제어기의 성능을 입증하기 위하여 dSPACE DS1104 R&D Board에 시뮬레이션을 통해 구현된 영구자석 동기전동기 벡터 제어 프로그램을 다운로드하여 실험을 통해 제안된 벡터제어 시스템의 타당성을 입증하였다 This paper presents a vector control implementation for SPMSM(Surface-mounted Permanent Magnet Synchronous Motor) using dSPACE 1104 system and MATLAB/SIMULINK. SPMSM can be treated as a DC motor provided that currents of flux and torque component are controlled independently using vector control. Therefore various control algorithms for conventional DC motor control can be adopted to SPMSM. The system is designed to improve set-point tracking capability, fast response, and accuracy In This paper, d-q equivalent modeling of PMSM is derived based on vector control theory. PI controller is used for speed control and decoupling PI controller is used for current control. For the implementation of high performance vector control system, dSPACE 1104 system is used. Experiments were carried out to examine validity of the proposed vector control implementation.

Velocity Vector Control of a Linear Permanent Magnet Synchronous Motor

The paper presents a design of vector control algorithm for electric drive employing a linear permanent magnet synchronous motor (LPMSM). For simulation and further experimental verification it was necessary to formulate a mathematical model of the LPMSM. This model was derived from a standard mathematical model of a rotary PMSM and then exploited to verify vector control of the machine. The presented simulation results are used to control the LPMSM drive system with maximum efficiency.