scholarly journals Cooperative Control for Dual Permanent Magnet Motor System with Unified Nonlinear Predictive Control

2021 ◽  
Vol 12 (4) ◽  
pp. 266
Author(s):  
Zhanqing Zhou ◽  
Zhengchao Xu ◽  
Guozheng Zhang ◽  
Qiang Geng
Keyword(s):  
Cost Function ◽  
Permanent Magnet ◽  
Predictive Control ◽  
Cooperative Control ◽  
Permanent Magnet Synchronous Motor ◽  
Contour Error ◽  
Permanent Magnet Synchronous Motors ◽  
Nonlinear Predictive Control ◽  
Uncertain Disturbances ◽  
The Cost

In order to improve the position tracking precision of dual permanent magnet synchronous motor (PMSM) systems, a unified nonlinear predictive control (UNPC) strategy based on the unified modeling of two PMSM systems is proposed in this paper. Firstly, establishing a unified nonlinear model of the dual-PMSM system, which contains uncertain disturbances caused by parameters mismatch and external load changes. Then, the position contour error and tracking errors are regarded as the performance index inserted into the cost function, and the single-loop controller is obtained by optimizing the cost function. Meanwhile, the nonlinear disturbance observer is designed to estimate the uncertain disturbances, which is used for feed-forward compensation control. Finally, the proposed strategy is experimentally validated on two 2.3 kW permanent magnet synchronous motors, and the experimental results show that effectiveness and feasibility of proposed strategy.

A new approach to minimize torque ripple and noise in model predictive control of permanent magnet synchronous motor drives

2020 ◽  
pp. 107754632093374
Author(s):  
Arumugam Sivaprakasam ◽  
Lekshmanan N Ramya
Keyword(s):  
Model Predictive Control ◽  
Cost Function ◽  
Permanent Magnet ◽  
Predictive Control ◽  
Permanent Magnet Synchronous Motor ◽  
Motor Drives ◽  
Control Technique ◽  
Current Harmonics ◽  
Stator Current ◽  
Stator Flux

Model predictive control widely advocates in the better performance control technique for permanent magnet synchronous motor drives for its exceptional flexibility of incorporating nonlinear parameters. However, the higher ripples in torque and harmonics in stator current are the major criticisms in this method. Enlightened by the idea of including nonlinear constraints in the cost function, this article proposes a novel cost function with reduced ripples in torque, stator flux, and current harmonics. The improvised cost function uses torque tracking, maximum torque per ampere, minimization of switching losses, and system constraints. This approach attains effectiveness in the minimization of the ripples in torque, stator flux, and stator current harmonics and also reduces the acoustic noise of the system. The claims of the proposed work are supported by the quantitative comparison of the simulated response with the standard model predictive torque control that uses errors in the stator flux and electromagnetic torque in its cost function. The compared simulation results prove the effectiveness of the proposed control technique.

scholarly journals An Improved Model Predictive Torque Control for a Two-Level Inverter Fed Interior Permanent Magnet Synchronous Motor

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 769 ◽  
Author(s):  
Guozheng Zhang ◽  
Chen Chen ◽  
Xin Gu ◽  
Zhiqiang Wang ◽  
Xinmin Li
Keyword(s):  
Cost Function ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Torque Ripple ◽  
Synchronous Motor ◽  
Torque Control ◽  
Flux Control ◽  
Interior Permanent Magnet ◽  
Improved Model ◽  
The Cost

In conventional model predictive control, the dimensions of the control variables are different from each other, which makes adjusting the weighted factors in the cost function complicated. This issue can be solved by adopting the model predictive flux control. However, the performance of the electromagnetic torque is affected by the change of the cost function. A novel model predictive torque control of the interior permanent magnet synchronous motor is presented in this paper, and the cost function involving the excitation torque and reluctance torque is established. Combined with the model predictive flux control and discrete space vector modulation, the current ripple and torque ripple are reduced. The performance of torque under an overload condition is superior to model predictive flux control. The effectiveness of the proposed algorithm is verified by the simulation and experimental results.

scholarly journals Model Predictive Control of Permanent Magnet Synchronous Motor Based on State Transition Constraint Method

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jun Gao ◽  
Jie Zhang ◽  
Mengyang Fan ◽  
Zhiyuan Peng ◽  
Qinghong Chen ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Cost Function ◽  
Permanent Magnet ◽  
Predictive Control ◽  
State Transition ◽  
Transition Probability ◽  
Tracking Error ◽  
Control Period ◽  
Control Performance ◽  
The Cost

Permanent magnet synchronous motors are widely used and have sufficient development prospects in the drive systems of electric vehicles. Traditional model predictive control (MPC) methods are shown to achieve good control performance by tracking the d- and q-axis current as well as limiting the current amplitude. However, the dynamic response performance and current harmonics during the switching process are not considered in the traditional MPC. Therefore, this paper proposes an MPC that can effectively improve control performance, where the switch transfer sequence in the switch constraint module is considered in the improved model. The state transition error is obtained from the switch constraint module according to the current switch state and the transition probability, after which, the integration into the cost function in which the driving error, tracking error, and constraint error are considered. A reinforcement learning (RL) algorithm is used to obtain the weight coefficient of the transition error term in the constraint module for automatically determining the best switch state for the next control period using the cost function. Simulation tests show that the total harmonic distortion of the phase current based on the improved MPC is 978.4%, less than 2843.0% of the traditional MPC method under 20 Nm at 1000 rpm. The torque response time of the motor is reduced by 0.026 s, whereas the simulation results indicate that the 100 km acceleration performance of an electric vehicle is improved by 9.9%.

Influence of unbalanced magnetic force on shaft deflection in permanent magnet synchronous motor with fractional slot concentrated windings

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1461-1468
Author(s):  
Ting Dong ◽  
Juyan Huang ◽  
Bing Peng ◽  
Ling Jian
Keyword(s):  
Permanent Magnet ◽  
Magnetic Force ◽  
Permanent Magnet Synchronous Motor ◽  
Operational Reliability ◽  
Topology Structure ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Shaft Deflection ◽  
Large Length ◽  
Fractional Slot

The calculation accuracy of unbalanced magnetic forces (UMF) is very important to the design of rotor length, because it will effect the shaft deflection. But in some permanent magnet synchronous motors (PMSMs) with fractional slot concentrated windings (FSCW), the UMF caused by asymmetrical stator topology structure is not considered in the existing deflection calculation, which is very fatal for the operational reliability, especially for the PMSMs with the large length-diameter ratio, such as submersible PMSMs. Therefore, the part of UMF in the asymmetrical stator topology structure PMSMs caused by the choice of pole-slot combinations is analysized in this paper, and a more accurate rotor deflection calculation method is also proposed.

Sign in / Sign up

Export Citation Format

Share Document