scholarly journals Design and Implementation of Periodic Control for a Matrix Converter-Based Interior Permanent Magnet Synchronous Motor Drive System

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8073
Author(s):  
Tian-Hua Liu ◽  
Kai-Hsiang Chang ◽  
Jia-Han Li
Keyword(s):  
Digital Signal Processor ◽  
Permanent Magnet Synchronous Motor ◽  
Harmonic Distortion ◽  
Digital Signal ◽  
Matrix Converter ◽  
Current Loop ◽  
Harmonic Currents ◽  
Interior Permanent Magnet ◽  
The Matrix ◽  
Bus Voltage

The matrix converter-based IPMSM drive has 360 Hz virtual DC-bus voltage variations which produce severe stator harmonic currents. To solve this problem, a speed-loop classical periodic controller and two current-loop periodic controllers, including a classical periodic controller and a selective harmonic controller, are proposed in this paper. By using the proposed methods, the harmonic currents are obviously reduced and the speed responses of the IPMSM are clearly improved. A detailed analysis is discussed. A digital signal processor, type SH7237, manufactured by Renesas Electronics Corporation is used for the control algorithms. Experimental results show that those proposed periodic controllers reduce up to nearly 32% of the total harmonic distortion at the stator currents, and also apparently improve the transient, tracking, and repetitive load disturbance speed responses.

Sensorless Control of IPMSM Using Modified Current Slope Estimation Method

2012 ◽  
Vol 150 ◽  
pp. 100-104
Author(s):  
Tao Zhang ◽  
Wei Ni ◽  
Hui Ping Zhang ◽  
Sha Sha Wu
Keyword(s):  
Permanent Magnet ◽  
Digital Signal Processor ◽  
Permanent Magnet Synchronous Motor ◽  
Estimation Method ◽  
Digital Signal ◽  
Synchronous Motor ◽  
Low Speed ◽  
Rotor Position ◽  
Operating Region ◽  
Interior Permanent Magnet

When the permanent magnet synchronous motor is operated at a low speed. The rotor position and speed are very difficult to estimate using the extended flux or back EMF method. A novel modified current slope estimating method is used to estimate the rotor position and speed in low speed in this paper. The mathematical models of an interior permanent magnet synchronous motor (IPMSM) are deduced. The basic principle of modified current slope method is introduced. The simulation control system is built based on Matlab and a TMS320LF2407 digital signal processor is used to execute the rotor position and speed estimation. The experimental and simulation results have shown that the rotor position and speed can be accurately estimated in a low-speed operating region.

Sensorless Control of IPMSM Using Extended Flux Estimation Method

2012 ◽  
Vol 150 ◽  
pp. 95-99 ◽  
Author(s):  
Tao Zhang ◽  
Wei Ni ◽  
Hui Ping Zhang ◽  
Sha Sha Wu
Keyword(s):  
Control Strategy ◽  
Digital Signal Processor ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Estimation Method ◽  
Digital Signal ◽  
Position Estimation ◽  
Interior Permanent Magnet ◽  
Flux Estimation ◽  
Rotor Position Estimation

The mathematic models of an interior permanent magnet synchronous motor (IPMSM) are deduced in this paper. A novel sensorless control strategy for IPMSM is proposed. An extended flux is systematically derived by using the proposed extended flux estimating method. The shaft position and speed of the motor are obtained. The simulation control system is built based on Matlab and a TMS320LF2407 digital signal processor is used to execute the rotor position estimation and rotor speed estimation. Several experimental and simulation results are provided to validate the control strategy.

Design of Matrix Converter Vector Control System Based on DSP and CPLD

2011 ◽  
Vol 413 ◽  
pp. 184-189
Author(s):  
Xiang Ju Jiang ◽  
Er Lin Liu
Keyword(s):  
Control System ◽  
Vector Control ◽  
Control Strategy ◽  
Digital Signal Processor ◽  
Asynchronous Motor ◽  
Digital Signal ◽  
Matrix Converter ◽  
System Structure ◽  
The Matrix ◽  
Vector Control System

Matrix converter is a kind of power electric converter by AC-AC transformation with its excellent input and output characteristics.After analysis of matrix converter system structure in the paper,a digital signal processor based on DSP and CPLD is designed. The design includes the hardware structure and the program flowsheet.DSP and CPLD is the core of the matrix converter - Asynchronous motor vector control system, including system main circuit, other peripheral hardware circuit, control and protection circuits, software design process and so on. The hardware control strategy and software realization scheme of the system are discussed in detail. The experimental results verify that the control strategy of the system is valid and the design of the software and hardware are reasonable.

scholarly journals Robust Optimal Tracking Control of a Full-Bridge DC-AC Converter

2021 ◽  
Vol 11 (3) ◽  
pp. 1211
Author(s):  
En-Chih Chang ◽  
Chun-An Cheng ◽  
Rong-Ching Wu
Keyword(s):  
Steady State ◽  
Digital Signal Processor ◽  
Tracking Control ◽  
Harmonic Distortion ◽  
Digital Signal ◽  
Fast Convergence ◽  
Solution Quality ◽  
Hybrid Strategy ◽  
Optimal Tracking ◽  
Optimal Tracking Control

This paper develops a full-bridge DC-AC converter, which uses a robust optimal tracking control strategy to procure a high-quality sine output waveshape even in the presence of unpredictable intermissions. The proposed strategy brings out the advantages of non-singular fast convergent terminal attractor (NFCTA) and chaos particle swarm optimization (CPSO). Compared with a typical TA, the NFCTA affords fast convergence within a limited time to the steady-state situation, and keeps away from the possibility of singularity through its sliding surface design. It is worth noting that once the NFCTA-controlled DC-AC converter encounters drastic changes in internal parameters or the influence of external non-linear loads, the trembling with low-control precision will occur and the aggravation of transient and steady-state performance yields. Although the traditional PSO algorithm has the characteristics of simple implementation and fast convergence, the search process lacks diversity and converges prematurely. So, it is impossible to deviate from the local extreme value, resulting in poor solution quality or search stagnation. Thereby, an improved version of traditional PSO called CPSO is used to discover global optimal NFCTA parameters, which can preclude precocious convergence to local solutions, mitigating the tremor as well as enhancing DC-AC converter performance. By using the proposed stable closed-loop full-bridge DC-AC converter with a hybrid strategy integrating NFCTA and CPSO, low total harmonic distortion (THD) output-voltage and fast dynamic load response are generated under nonlinear rectifier-type load situations and during sudden load changes, respectively. Simulation results are done by the Matlab/Simulink environment, and experimental results of a digital signal processor (DSP) controlled full-bridge DC-AC converter prototype confirm the usefulness of the proposed strategy.

Adaptive composite control method of permanent magnet synchronous motor systems

2017 ◽  
Vol 40 (11) ◽  
pp. 3345-3357 ◽  
Author(s):  
Zhenxing Sun ◽  
Shihua Li ◽  
Jiegao Wang ◽  
Xinghua Zhang ◽  
Xiaohui Mo
Keyword(s):  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Digital Signal ◽  
Cascade Control ◽  
Current Loop ◽  
Single Loop ◽  
Control Scheme ◽  
Control Schemes ◽  
Relative Differences ◽  
Compensation Design

With the development of digital signal processes, the relative differences of PMSM single loop in control periods between the speed loop and current loops are becoming smaller or even vanishing. Therefore, cascade control schemes seem to be unnecessary. In addition, considering the effects of disturbances and the variety of moments of inertia, this paper proposes a scheme using an adaptive non-cascade control method to design the controller, which merges speed loop and q-axis current loop into one single loop. First, an extended state observer (ESO) is employed to estimate the disturbances of the system. The estimated value is used in the feedforward compensation design to improve the capability of system anti-disturbance. Then, considering the performance degradation caused by inertia change, an adaptive control scheme is developed. By using inertia identification technology, the feedforward compensation gain can be tuned automatically according to the identification value. Several groups of simulations and experiments are carried out and the results demonstrate the effectiveness of the proposed scheme.

scholarly journals Structure-variable sliding mode control of interior permanent magnet synchronous motor in electric vehicles with improved flux-weakening method

2018 ◽  
Vol 10 (1) ◽  
pp. 168781401770435 ◽  
Author(s):  
Bin Liu ◽  
Yue Zhao ◽  
Hui-Zhong Hu
Keyword(s):  
Permanent Magnet ◽  
Electric Vehicles ◽  
Direct Current ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Interior Permanent Magnet ◽  
Integral Controller ◽  
Bus Voltage ◽  
Flux Weakening

A kind of flux-weakening control method based on speed loop structure-variable sliding mode controller is proposed for interior permanent magnet synchronous motor in electric vehicles. The method combines maximum torque per ampere with vector control strategy to control electric vehicle’s interior permanent magnet synchronous motor. During the flux-weakening control phase, the anti-windup integral controller is introduced into the current loop to prevent the current regulator from entering the saturated state. At the same time, in order to further improve the utilization rate of the direct current bus voltage and expand the flux-weakening regulating range, a space vector pulse-width modulation over-modulation unit is employed to contravariant the direct current bus voltage. Comparing with the conventional proportional–integral controller, the proposed sliding mode control algorithm shows that it has more reliable control performance. In addition, more prominent flux-weakening performance of the proposed flux-weakening method is illustrated by numerical simulation comparison.

A computationally efficient torque and flux ripple reduction by active vector optimization approach using direct torque control–based model predictive torque control for matrix converter–fed permanent magnet synchronous motor

2022 ◽  
pp. 014233122110688
Author(s):  
JD Anunciya ◽  
Arumugam Sivaprakasam
Keyword(s):  
Permanent Magnet ◽  
Real Time ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Matrix Converter ◽  
Torque Control ◽  
Optimization Approach ◽  
The Real ◽  
The Matrix

The Matrix Converter–fed Finite Control Set–Model Predictive Control is an efficient drive control approach that exhibits numerous advantageous features. However, it is computationally expensive as it employs all the available matrix converter voltage vectors for the prediction and estimation. The computational complexity increases further with respect to the inclusion of additional control objectives in the cost function which degrades the potentiality of this technique. This paper proposes two computationally effective switching tables for simplifying the calculation process and optimizing the matrix converter active prediction vectors. Here, three prediction active vectors are selected out of 18 vectors by considering the torque and flux errors of the permanent magnet synchronous motor. In addition, the voltage vector location segments are modified into 12 sectors to boost the torque dynamic control. The performance superiority of the proposed concept is analyzed using the MATLAB/Simulink software and the real-time validation is conducted by implementing in the real-time OPAL-RT lab setup.

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