PMSM Control System Research Articles

A Hall-Based Modified Finite Position Set-Phase Locked Loop for PMSM Control System in EVs

A Hall-Based Modified Finite Position Set-Phase Locked Loop for PMSM Control System in EVs

ADRC-IMC strategy of PMSM control system based on improved <i>fal</i> function

ADRC-IMC strategy of PMSM control system based on improved <i>fal</i> function

ADRC-IMC strategy of PMSM control system based on improved fal function

ADRC-IMC strategy of PMSM control system based on improved fal function

Research On Adaptive Sliding Mode Control of PMSM Based On Novel Reaching Law

Based on the jitter and slow convergence speed caused by the conventional approach law SMC, a new exponential approach rate is proposed to optimize dynamic characteristics of the PMSM control system. The approach law is based on the conventional exponential adience law, and the variable of state the system are added. It can ceaseless adapt to the changes of the controlled system, ensure the high tracking function of the system and reduce the jitter caused by the control input. Meanwhile, based on the new exponential approach law, an self-adaption SMC is designed to estimate the uncertain parameters of the control process, and the stability of the make better approach law and control algorithm is analyzed by the function. Finally, The designed controller is compared with traditional sliding mode control and PI control through simulation experiments. The results show that the new exponential approach law can effectively suppress chattering and improve the dynamic characteristics of the system.

Research on PMSM control system based on high order sliding mode method

A high-order sliding mode viewer using the stator current and rotor magnetic chain as state quantities is designed and implemented, which is based on the fourth-order state equation and can directly output the observed values of the rotor magnetic chain. To avoid the phase change of the magnetic chain due to the introduction of a low-pass filter, a vector equation of state filtering method is proposed to filter the dither signal through the magnetic chain equation by taking the observed deviation of the current as the sliding mode surface and inputting the equivalent control signal directly into the magnetic chain equation. Simulation results show that the designed extended sliding mode observer is able to accurately estimate the rotor position and speed at lower speeds without accurate compensation of the observed values for rotor information collection present in the counter potential and the rotor magnetic chain. The sensorless vector control system is characterized by robustness, wide speed range, and higher feasibility and effectiveness.

PMSMの直接トルク制御におけるトルク制御特性を改善する制御器構成

PMSMの直接トルク制御におけるトルク制御特性を改善する制御器構成

The Hall Sensors Fault-Tolerant for PMSM Based on Switching Sensorless Control With PI Parameters Optimization

The failure of Hall sensors can give rise to loss of rotor position and speed information, which can result in loss of control of the speed loop, spatial decoupling errors, and affecting system stability in three-phase PMSM control system. To solve this problem, a Hall fault-tolerant control system based on sensorless state switching is proposed in this paper. Firstly, a three-phase PMSM control system based on FOC is established to analyze and clarify the importance of rotor position and speed signals. Secondly, a detection scheme based on Hall change edge signal is designed to detect the health status of Hall sensors and implement fault-tolerant state switching. For the stability of the system, a sliding mode observer is built to obtain the back electromotive force(back-EMF). In addition, the phase-locked loop is designed to extract the rotor position and speed information from the back-EMF. When the system enters a fault-tolerant state, changes in the speed feedback loop can affect the control performance of the system. Therefore, the speed loop PI parameter optimization scheme based PSO algorithm is proposed to optimize the performance of the fault tolerant control system. Finally, the effectiveness of the fault-tolerant method based on the sensorless state switching after particle swarm optimization is verified on a semi-physical platform (RCP-HIL). The experimental results show that the Hall fault-tolerant control system proposed in this paper can effectively detect Hall sensor faults and cut into the fault-tolerant control state, and can maintain the control system stable during fault-tolerant state switching. Furthermore, the control system can maintain an observation error of ±30 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rpm</i> under variable load or variable speed conditions at medium and high speeds when the system enters fault-tolerant control state.

Design of Model-Free Speed Regulation System for Permanent Magnet Synchronous Linear Motor Based on Adaptive Observer

To simplify the system structure of permanent magnet synchronous linear motor (PMSLM), optimize the kinematic performance of the control system, and further improve the speed tracking accuracy of PMSLM, a model-free speed regulation system design of PMSLM based on the adaptive observer is proposed. Aiming at the control instability problem caused by the parameter uncertainty of PI control in PMSLM, a model-free speed controller (MFC) based on the ultra-local model is proposed, which has strong robustness to the uncertainty of motor parameters. Meanwhile, the actual model of PMSLM is used to build the reference model of the adaptive observer, and the adjustable model is designed with the current equation of PMSLM, to identify the speed of PMSLM. The design not only reduces the dependence of the speed controller on the motor parameters, but also simplifies the complexity and cost of the control system, and improves the control performance and anti-interference ability of the control system. The MFC and the observer based on the model reference adaptive system (MRAS) are built by simulation software and applied to the PMSLM system to verify the superiority of the designed control system. Compared with PI controller, sliding mode controller (SMC), and sliding mode observer (SMO), this control method not only simplifies the control system in structure, but also improves the accuracy of PMSLM tracking speed, improves the dynamic response performance of PMSM control system, and optimizes the control ability of the control system.

Compensation of Interpolation Error for Look-Up Table-Based PMSM Control Method in Maximum Power Control

This paper proposes a compensation method for interpolation error of the maximum power control of a PMSM control system that generates current commands through a look-up table. A torque control system using a look-up table created through experiments has superior characteristics, such as control stability and torque accuracy, compared to a system that executes torque control via a linear controller based on modeling. However, it is impossible to generate information on all the currents for the output torque in the table. Therefore, because the data stored in the look-up table have a discrete characteristic, they are linearly interpolated to generate a current command for the torque command. However, the PMSM current trajectory is generally elliptical, which causes an error owing to linear interpolation, reducing the maximum output power. In particular, when the table data are insufficient, such as in the high-speed operation range, the reduced maximum output cannot be ignored. This paper proposes a compensation method for the interpolation error using two feedforward compensators and a PI controller, which was verified through experiments.

Simulation of PMSM control system based on SVPWM algorithm

Simulation of PMSM control system based on SVPWM algorithm

Research on sensorless control system of low speed and high power PMSM based on improved high frequency signal injection

With more and more applications of high-power PMSM in low-speed applications, the accuracy of the control system has also become more demanding. It is difficult to detect the position and control the speed of the motor according to the counter EMF because its amplitude is small. This paper adopts an improved high frequency signal injection method and the filtering method of single synchronous shafting filter and PLL, a set of high-power sensorless AC speed regulating system is designed based on the NPC three-level back-to-back converter with IGBTs which improves the robustness and control accuracy of low-speed high-power PMSM. The experimental and simulation results show that the control system meets the design requirements of engineering application.

Hardware design of PMSM control system based on DSP

Compared with traditional motor, permanent magnet synchronous motor has the characteristics of strong anti-interference ability, high starting torque and power density, and good speed regulation performance.Permanent magnet synchronous motor servo system has become a research hotspot in the field of servo drive.In this paper, with DSP28335 as the main control chip to give a permanent magnet synchronous motor AC servo control hardware system design scheme, the paper introduces in detail the system core control circuit, main power circuit, detection circuit design and the choice of main components.The hardware system designed has been applied to engineering practice, and has achieved good control effect.

A novel deadbeat predictive current control of permanent magnet synchronous motor based on oversampling scheme

AbstractWhen the speed of permanent magnet motor is relatively high, the fundamental frequency of stator voltage and current will rise. However, due to the limitation of switching frequency of power electronic devices, the switching times of power devices will be greatly reduced in a fundamental cycle of stator voltage. For the traditional control method with constant switching frequency mode, the control algorithm is executed only once in a carrier wave cycle, which will result in a low control frequency operating condition for the PMSM control system. At this time, the dynamic and steady‐state control performance of stator current will be decreased. In response to above problem, this paper proposed a deadbeat predictive current control method based on oversampling scheme, which the core algorithm of current loop operated four times and updated the PWM duty twice in one switching cycle. The number of control times of the proposed method is greater than that of the conventional method when the conventional deadbeat method and the proposed method adopt the same switching cycle. Therefore, the control method does not increase the switching frequency of power devices, but improves the dynamic and stable performance of the system, especially under the high‐speed condition.

Disturbance observer based discrete PI control system with back-calculation anti-windup technique for improvement transient performance of PMSM

In this paper disturbance observer-based control (DOBC) system for PMSM has been proposed. The cascade structure of the discrete-time PI-PI control system with back-calculation anti-windup scheme for both loops has been adopted. High order disturbance observer (HODO) has been adopted to estimate the total disturbance and compensate it in the speed loop of the PMSM control system. In the HODO, the disturbance estimation is based on the motion equation which takes into account torque losses due to the drug resulting from the time-varying flux, hysteresis, and friction. Unlike the traditional observers, the HODO does not require the derivatives of the disturbance to be zero, which is considered as its main advantage. The fast-varying disturbance as cogging torque and a high-frequency electromagnetic noise in the PMSM system also affect on the performance of control system, which are analyzed in the study. In the real-time experiments, the proposed control system achieves less speed errors and faster response comparing with controller without disturbances observer. The experimental results have proved the feasibility of the proposed control scheme.

Design Method of Model Predictive Control for Development of Current Control System of PMSM

Design Method of Model Predictive Control for Development of Current Control System of PMSM

Research on Sensorless Control System of PMSM Based on Adaptive Fuzzy Sliding Mode Observer

The vector control system of permanent magnet synchronous motor needs to use encoder and other speed measuring devices, which will increase the cost of the system and bring reliability problems. In order to solve these problems, this paper proposes a sensorless control system of PMSM Based on adaptive fuzzy sliding mode observer. Firstly, in order to suppress the chattering problem of the traditional sliding mode observer, the continuous sigmoid function is used as the switching function of the sliding mode observer to improve the stability of the system. Then, the adverse effect of the fixed sliding mode gain on the system performance is analysed. Observer Combined with the fuzzy control theory, the error function is selected as the fuzzy input, the fuzzy rules are formulated, and the fuzzy controller is designed to adjust the sliding-mode gain adaptively. Finally, the simulation model of sensorless control system of PMSM is established. The simulation results verify the feasibility of the proposed scheme.

Operation modes and control algorithms of anisotropic permanent magnet synchronous motor (IPMSM)

This paper represents control strategy of anisotropic permanent magnet synchronous motor (IPMSM) in the field-weakening region. Field weakening controller allows to increase maximum achievable speed with output torque reduction. Proposed control system consists of four general modes: MTPA (maximum torque per ampere), MC (maximum current), FW (field weakening), and MTPV (maximum torque per voltage) which must be chosen accordingly to motor speed, current and torque references. Operation point is found as an intersection of torque hyperbola and voltage ellipse curves in d-q motor’s current reference frame involving motor parameters’ limits. However, due to nonlinear dependence between torque and voltage equations, it is quite complicated to obtain both right control mode selection and reference output calculation. In order to solve this problem, a unified control algorithm adopted for wide speed and torque reference with online constraints calculation is proposed. Matlab/Simulink control model of PMSM motor and control system were designed in order to show developed strategy performance. Simulation results shows increasing of speed limit by more than 2.5 times related to nominal speed with high controller’s response. However, speed limit increasing leads to a decrease in motor’s output torque. Due to this fact, presented control strategy is not suitable for applications where nominal torque level is essential for all speed operation points.

Design and Implementation of Controller for EHPS of Intelligent Electric Bus

In order to meet the needs of bus electrification and intellectualization, a controller for the steering power system of an intelligent electric bus is studied in this paper. The contents mainly include: based on the structural principle and control strategy of the EHPS system, Luenberger observer is designed, which is applied to the sensorless control system of PMSM. Then, a controller with STM32F103zet6 chip as its core is designed and manufactured. The hardware design of the controller includes the minimum system circuit, power supply circuit, signal acquisition circuit, integrated driver module circuit, CAN communication circuit, fault and high temperature alarm circuit of the single chip computer; combining the design of each hardware part, the controller of EHPS system is made. In the aspect of software implementation, the control decision-making part, a motor drive control part, fault diagnosis, and transmission part are mainly designed. Finally, the bench test and vehicle test of the controller are carried out. The purpose of the bench test is to test the control effect of the controller on the motor. The bench test results show that the target speed response of the motor is fast and the output is stable. The controller developed in this paper realizes the control of PMSM. The purpose of the real vehicle test is to test whether the controller meets the actual application requirements of the steering power system of the vehicle. The actual vehicle test results show that the steering wheel's torque decreases obviously, and the steering power system has good power-assisting performance when the EHPS system controller works. With the increase of vehicle speed, the power-assisting torque decreases accordingly. EHPS system realizes the dynamic change of power-assisting and meets the requirements of the conventional power-assisting mode of the car. In addition, the controller can realize the active steering control by controlling the electric power assistant device, which provides a platform for the realization of lane auxiliary maintenance, automatic parking, unmanned driving, and other functions.

MPC based Hybrid Battery and Fuel cell powered PMSM drive for Electric Vehicle Applications

Permanent magnet synchronous motor is a robust machine for electrical vehicle application which can provide maximum torque at starting with low power and control of such machine is complex. This paper presents a model based predictive methodology for current control for PMSM drive powered through hybrid battery and fuel cell sourced electrical vehicle. Advantage of a MPC controller is it can predict the future changes in the system based on past and present inputs and enhances the dynamic performance of the PMSM control system. MPC controller increases the efficiency of the proposed system by ensuring precise control over output current from the drive. A buck-boost converter is employed to provide optimum dc link performance required for the voltage source inverter fed PMSM motor. The main objective of the buck boost converter is to boost the voltage available from battery and fuel cell even during low state of charge regions for stable operation of the drive. A suitable electrical vehicle model was developed in MATLAB/Simulink environment to validate the advantages of proposed conversion and control system for PMSM drive.

Research and Simulation of SVPWM Algorithm Based on BP Neural Network

In this paper, a space vector PWM (SVPWM) control algorithm based on BP neural network is proposed to cope with the complex calculation required in SVPWM through analyzing SVPWM for three phase voltage fed inverter. This method uses the strong nonlinear approximation ability of the BP neural network to fit the eqivalent segment SVPWM modulated wave, modulate with the triangular carrier wave, and then get the control signals of the three phase voltage inverter. A simulation model for PMSM control system was developed by MATLAB/Simulink with the neural network Toolbox. The results show that the BP neural network based SVPWM algorithm makes the motor control system has a smaller current harmonics and torque ripple, and reduce the amount of computation in digital control system with strong guidance.