scholarly journals Interval Type-2 Fuzzy Dynamic High Type Control of Permanent Magnet Synchronous Motor with Vector Decoupling Method

Actuators ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 293
Author(s):  
Xinglong Chen ◽  
Wei Tong ◽  
Yao Mao ◽  
Tao Zhao
Keyword(s):  
Steady State ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Type Structure ◽  
High Type ◽  
Decoupling Method ◽  
Pi Regulator ◽  
System Type ◽  
Interval Type

This paper presents an interval type-2 fuzzy dynamic high type (IT2FDHT) control based on vector decoupling method for permanent magnet synchronous motor (PMSM) to improve the dynamic characteristics of the system. Firstly, to address the shortcomings of the traditional PI regulator used in the current loop of PMSM, an improved PI regulator based on voltage feed-forward decoupling is used. Then, considering the characteristics that the higher the system type, the smaller the steady-state error and the shorter the regulation time, the high type control structure is added. However, a purely high type structure amplifies the oscillations of the system and is extremely sensitive to perturbations, which can easily lead to system divergence. Therefore, in order to solve the problems caused by high type structure, finally we designed dynamic high type control with the help of fuzzy logic systems (FLSs), which successfully achieved automatic switching of system type while improving response speed and steady-state accuracy. Meanwhile, quantum-behaved particle swarm optimization (QPSO) algorithm is employed to determine the parameters of FLSs. In summary, five methods including conventional PI, feed-forward decoupling PI (FDPI), FDPI high type (FDPI-HT), FDPI type-1 fuzzy dynamic high type (FDPI-T1FDHT), and FDPI-IT2FDHT, are compared to show the superiority of the proposed method. By means of simulations, the excellence of proposed FDPI-IT2FDHT is verified.

scholarly journals Practical interval type-2 fuzzy self-tuning of PID controller to servo permanent magnet synchronous motor

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
M. A. Abdel Ghany ◽  
M. E. Bahgat ◽  
W. M. Refaey ◽  
Soliman Sharaf
Keyword(s):  
Permanent Magnet ◽  
Real Time ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Least Square ◽  
Variable Load ◽  
Parameter Uncertainties ◽  
Self Tuning ◽  
Interval Type

AbstractThis paper implements a practical interval type-2 fuzzy self-tuning (IT2FST) of optimal PID (OPID) controller to servo permanent magnet synchronous motor (SPMSM). The proposed method IT2FST updates the OPID controller gains in an online manner to drive the SPMSM with better speed response during variable load and parameter uncertainty occurrence. In this work, the industrial SPMSM system comprises three-phase PMSM with internal break, drive and mechanical parts. Due to the incomplete real information of the SPMSM, nonlinear least square algorithm has been utilized for its model identification. A comparative analysis in a real time of the SPMSM with an OPID, type-1 fuzzy self-tuning and IT2FST for OPID controllers under the influence of parameter uncertainties and external load disturbances has been carried out. The real-time practical implementation results illustrated that the proposed IT2FST of OPID controller gives a simple opportunity to enhance the speed performance of the SPMSM than the other controllers.

scholarly journals Implementation of Type-2 Fuzzy Logic Controller in PMSM Drives Using DSP

2018 ◽  
Vol 9 (3) ◽  
pp. 1098 ◽  
Author(s):  
Said Wahsh ◽  
Y. Ahmed ◽  
Abo Elzahab
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Fuzzy Logic Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Digital Signal ◽  
Operating Conditions ◽  
Simulation Results ◽  
Interval Type ◽  
Short Time

This paper presents interval type-2 fuzzy logic (IT2FL) controller applied on a direct torque controlled (DTC) permanent magnet synchronous motor (PMSM), using digital signal processing (DSP). The simulation of PMSM with space vector pulse widths modulation (SVPWM) inverter presented under several operating condition. To verify the simulation results a hard ware setup is prepared and tested at several operating conditions using dspace 1102 DSP model.  The experimental and simulation results are in agreement and the torque dynamic response is very rapid and the system achieves the steady state in a very short time.

Direct Torque Control for Permanent Magnet Synchronous Motors Based on Fuzzy Regulator

2014 ◽  
Vol 998-999 ◽  
pp. 607-612
Author(s):  
Xiang Tang ◽  
Jun Gu ◽  
Ting Gao Qin
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Torque Control ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Pi Regulator ◽  
Harmonic Content ◽  
Fuzzy Regulator

In this paper, a method of direct torque control (DTC) for permanent magnet synchronous motor (PMSM) based on fuzzy regulator is proposed. It overcomes the disadvantages such as speed drop with load, torque ripple etc., which happens in the DTC for PMSM based on conventional PI regulator. The simulation results show that, the DTC for PMSM based on fuzzy regulator can effectively improve the system loading capability and significantly reduce the torque ripple and the harmonic content of the system. Therefore, it can comprehensively improve the system performance.

scholarly journals Permanent-Magnet Synchronous Motor Sensorless Control Using Proportional-Integral Linear Observer with Virtual Variables: A Comparative Study with a Sliding Mode Observer

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 877 ◽  
Author(s):  
Baochao Wang ◽  
Yangrui Wang ◽  
Liguo Feng ◽  
Shanlin Jiang ◽  
Qian Wang ◽  
...  
Keyword(s):  
Steady State ◽  
Comparative Study ◽  
Permanent Magnet ◽  
Parameter Uncertainty ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Phase Delay ◽  
Proportional Integral ◽  
Linear Observer ◽  
Real Plant

Quick convergence, simple implementation, and accurate estimation are essential features of realizing permanent-magnet synchronous motor (PMSM) position estimation for sensorless control using microcontrollers. A linear observer is often designed on real plant variables and is more sensitive to parameter uncertainty/variations. Thus, conventionally, a sliding mode observer (SMO)-based technique is widely used for its simplicity and convergence ability against parameter uncertainty. Although SMO has been improved for switching chattering and phase delay, it provides purely proportional gain, which leads to steady-state error and chattering in observation results. Different from conventional linear observer using real plant variables or SMO with proportional gain, a simple proportional-integral linear observer (PILO) using virtual variables is proposed in this paper. This paper also provides a comparative study with SMO. By introducing virtual variables without physical meaning, the PILO is able to simplify observer relations, get smaller phase shifts, adapt mismatched parameters, and obtain a fixed phase-shift relation. The PILO is not only simple, but also improves the estimation precision by solving the controversy between chattering and phase-delay, steady-state error. Moreover, the PILO is less sensitive to parameters mismatching. Simulation and experimental results indicate the merits of the PILO technique.

Sign in / Sign up

Export Citation Format

Share Document