Adaptive control schemes based on characteristic model for servo motor drives

被引:0
作者
Wang, Jiyao [1 ]
Xu, Wei [1 ,4 ]
Fang, Shuhua [1 ]
Chen, Yong [2 ]
Wang, Yicheng [1 ]
Wang, Wei [3 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing, Jiangsu Provinc, Peoples R China
[2] City Univ Hong Kong, Hong Kong, Peoples R China
[3] NR Elect Co Ltd, Nanjing, Jiangsu Provinc, Peoples R China
[4] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu Provinc, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive control; characteristic model; permanent magnet synchronous motor; servo system; PREDICTIVE TORQUE CONTROL; SPEED CONTROL; PMSM;
D O I
10.1049/pel2.12544
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the paper, two adaptive control schemes based on characteristic model (CM) method are proposed to achieve great dynamic performance for servo motor drive applications. Two second-order CMs of permanent magnet synchronous motors (PMSMs) are established based on the difference equation method. An adaptive controller consisting of four control laws is designed based on CMs. The proposed controller implements an improved maintaining/tracking control law that considers load torque ripple, plus a golden-section adaptive control law, a logic differential control law, and a logic integral control law. In addition, two different servo systems using adaptive controllers are established, both of which are simple to implement and can achieve accurate position-tracking or speed-tracking in a servo drive system. The feasibility and effectiveness of the proposed adaptive control schemes are experimentally tested and verified on a servo motor drive platform.
引用
收藏
页码:2238 / 2248
页数:11
相关论文
共 28 条
[1]   Intelligent Maximum Power Factor Searching Control Using Recurrent Chebyshev Fuzzy Neural Network Current Angle Controller for SynRM Drive System [J].
Chen, Shih-Gang ;
Lin, Faa-Jeng ;
Liang, Chia-Hui ;
Liao, Chen-Hao .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2021, 36 (03) :3496-3511
[2]  
CHEN Y, 2022, IECON 2022 48 ANN C, P1, DOI DOI 10.1109/TIE.2022.3170619
[3]   A New Cascaded Adaptive Deadbeat Control Method for PMSM Drive [J].
Chen, Yong ;
Liu, Chunhua ;
Liu, Senyi ;
Song, Zaixin .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 70 (04) :3384-3393
[4]   Robust adaptive H∞ position control via a wavelet-neural-network for a DSP-based permanent-magnet synchronous motor servo drive system [J].
El-Sousy, F. F. M. .
IET ELECTRIC POWER APPLICATIONS, 2010, 4 (05) :333-347
[5]   An Improved Inertia Disturbance Suppression Method for PMSM Based on Disturbance Observer and Two-Degree-of-Freedom PI Controller [J].
Fan, Ying ;
Chen, Junlei ;
Zhang, Qiushi ;
Cheng, Ming .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2023, 38 (03) :3590-3599
[6]   Design of Permanent Magnet Synchronous Motor Servo System Based on Improved Particle Swarm Optimization [J].
Fang, Shuhua ;
Wang, Yicheng ;
Wang, Wei ;
Chen, Youxu ;
Chen, Yong .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2022, 37 (05) :5833-5846
[7]   An Intelligent Non-Integer PID Controller-Based Deep Reinforcement Learning: Implementation and Experimental Results [J].
Gheisarnejad, Meysam ;
Khooban, Mohammad Hassan .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (04) :3609-3618
[8]   Multiple characteristic model-based golden-section adaptive control: Stability and optimization [J].
Huang, Huang .
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2015, 29 (07) :877-904
[9]   Sampled-data feedback and stability for a class of uncertain nonlinear systems based on characteristic modeling method [J].
Jiang, Tiantian ;
Wu, Hongxin .
SCIENCE CHINA-INFORMATION SCIENCES, 2016, 59 (09)
[10]   Adaptive backstepping complementary sliding mode control with parameter estimation and dead-zone modification for PMLSM servo system [J].
Jin, Hongyan ;
Zhao, Ximei ;
Wang, Tianhe .
IET POWER ELECTRONICS, 2021, 14 (04) :785-796