scholarly journals Designing Robust Control for Permanent Magnet Synchronous Motor: Fuzzy Based and Multivariable Optimization Approach

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 39138-39153
Author(s):  
Yunjun Zheng ◽  
Han Zhao ◽  
Shengchao Zhen ◽  
Chunsheng He
Keyword(s):  
Robust Control ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Optimization Approach

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.

Robust Control with Input-Output Decoupling Technique for an Interior Permanent Magnet Synchronous Motor in Electrical Vehicle System

2011 ◽  
Vol 317-319 ◽  
pp. 2461-2465
Author(s):  
Li Lin ◽  
Hong Wei Tang ◽  
Jie Tang
Keyword(s):  
Robust Control ◽  
Permanent Magnet ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Drive System ◽  
Variable Load ◽  
Input Output ◽  
Interior Permanent Magnet ◽  
Electrical Vehicle

A new interior permanent magnet synchronous motor (IPMSM) control method is presented for electrical vehicle drive system. Based on the differential geometry theory, the nonlinear system is changed into a linear system with input-output decoupling technique. Then, by the maximum torque per ampere (MTPA) control strategy, the output torque of the drive system is added. And then, a load torque observer is designed to resist the variable load. In the end, Based on the linearization model, an controller is given. Simulation results show that the electrical vehicle drive system based on decoupling robust control has fast transient responses, good load disturbance resistance responses and good tracking responses.

scholarly journals A global optimization technique for modeling and control of permanent magnet synchronous motor drive

2021 ◽  
pp. 74-81
Author(s):  
Souvik Ganguli ◽  
Abhimanyu Kumar ◽  
Gagandeep Kaur ◽  
Prasanta Sarkar ◽  
Suman Rajest S
Keyword(s):  
Global Optimization ◽  
Permanent Magnet ◽  
Controller Design ◽  
Permanent Magnet Synchronous Motor ◽  
Order Reduction ◽  
Synchronous Motor ◽  
Motor Drive ◽  
Optimization Approach ◽  
Order Model ◽  
Synchronous Motor Drive

In this paper, model order reduction and controller design of permanent magnet synchronous motor (PMSM) drive has been carried out with the help of a firefly-based hybrid metaheuristic algorithm in the complex delta domain. Two relatively new algorithms, namely, the firefly technique and an adaptive version of the flower pollination method are combined to develop an effective global optimization approach. Originally, the permanent magnet synchronous motor drive constituting speed and current controllers yields a higher-order system reduced to a lower-order model via an identification approach applied in signal processing techniques. The reduced-order model, cascaded with a PI controller is then matched with a reference model approximately to estimate the unknown controller parameters. The tuned controller parameters using the delta operator method almost resemble those obtained by the continuous-time system. Thus, a unified framework of controller design for the drive system is also established. Thus, the hybrid intelligent algorithm is employed for order reduction and controller parameter estimation of PMSM drives. A case study can also be considered for the speed control of switched reluctance and brushless motor drives are widely predominant in several domestic and industrial applications.

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