Application of T Immunt Fuzzy Controller for PMSM Speed Control System

doi:10.13190/j.jbupt.2014.06.007

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (6): 34-37.doi: 10.13190/j.jbupt.2014.06.007

• Papers • Previous Articles Next Articles

Application of T Immunt Fuzzy Controller for PMSM Speed Control System

XU Li-fang¹, MO Hong-wei²

1. Engineering Training Center, Harbin Engineering University, Harbin 150001, China;
2. Automation College, Harbin Engineering University, Harbin 150001, China

Received:2014-03-05 Online:2014-12-28 Published:2014-10-17

Abstract

Abstract:

A method of T immune fuzzy control was proposed. The T immune cell regulatory factor was introduced in the mathematical model of feedback control by applying the principle of immune T cell concentration regulation. And the nonlinear function of the fuzzy controller was used to approximate T cell regulatory factor. Compared with traditional PI control and immune feedback control, it can effectively suppress the effect of load disturbance on speed, electromagnetic torque output and current output. So it has excellent capability of resistance to systematic errors and speed following. Application on permanent magnet synchronous motor (PMSM) speed system shows the practicability of the proposed method.

Key words: permanent magnet synchronous motor, immune fuzzy control, immune feedback control, AC speed system

CLC Number:

TP183

XU Li-fang, MO Hong-wei. Application of T Immunt Fuzzy Controller for PMSM Speed Control System[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(6): 34-37.

References

[1] Takahashi K, Yamada T. Application of an immune feedback mechanism to control systems[J]. JSME International Journal, Series C, 1998, 41(2): 184-191.

[2] Ren Xinyi, Du Fengshan, Huang Huagui, et al. Application of improved fuzzy immune PID controller to bending control system[J]. International Journal of Iron and Steel Research, 2011, 18(3): 8-33.

[3] Qin Li, Huang Weigang, Zhou Shili, et al. PWM speed regulating system of DC torque motor based on fuzzy immune-PID control source[J]. Applied Mechanics and Materials, 2012, 466-467: 1129-1134.

[4] Song Rongrong, Ma Weihua, Chen Zili. Study on improved fuzzy immune PID controller for maglev transportation system with track irregularity[J]. Applied Mechanics and Materials, 2013, 423-426: 2825-2831.

[5] Yuan Guili, Liu Jizhen. The design for feed water system of boiler based on fuzzy immune smith control [J]. Journal of Computers, 2012, 7(1): 278-283.

[6] Shih K S, Li T H, Tsai S H. New nonlinear controller for a class of chaotic systems based on adaptive backstepping fuzzy immune control[J]. Mathematical Problems in Engineering, 2011, 28(5): 1-10.

[7] 王爽心, 姜妍, 李亚光. 基于混合混沌优化策略的汽轮机调速系统模糊免疫PID控制[J]. 中国电机工程学报, 2006, 26(11): 70-74. Wang Shuangxin, Jiang Yan, Li Yaguang. Fuzzy immune PID control based on hybrid chaos optimization strategy of turbine speed control system[J]. Chinese Society for Electrical Engineering, 2006, 26(11): 70-74.

[8] 王科, 刘新正. 免疫单神经元PID 控制在永磁交流伺服系统中的应用[J]. 西安交通大学学报, 2010, 44(4): 76-81. Wang Ke, Liu Xinzheng. Immune single neuron PID control in permanent magnet AC servo system[J]. Journal of Xi'an Jiaotong University, 2010, 44(4): 76-81.

[9] Lin Wenbin, Chiang H K, Chung Y L. The speed control of immune-fuzzy sliding mode controller for a synchronous reluctance motor[J]. Applied Mechanics and Materials, 2013(300-301): 1490-1493.

[1]	ZHANG Tiankui, CAI Changli, LUO Xiaoliang, ZHU Yutao. Multi-Scale Feature Transformer Based Fine-Grained Image Classification Method [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(4): 70-75.
[2]	BAO Qianhui, WEN Juan, SHI Shuzhen, DONG Mengping, LIU Xue. Aspect Category Classification Integrated in Syntactic Dependency and BERT-Att-BiLSTM [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(4): 123-128.
[3]	ZHOU Yuhao, SUN Zhe, WU Xiaofei, YU Ke. Chinese Spelling Correction Model Based on Gated Feature Fusion [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(4): 91-96,122.
[4]	SU Xing, YU Ke, WU Xiaofei. Gated Interactive Fusion Network for Rumor Detection [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(4): 97-102.
[5]	张涛 Ma Chunmei. Research on Behavior Recognition Based on Key-frame Sampling for Heterogeneous Time Series Data [J]. Journal of Beijing University of Posts and Telecommunications, 0, (): 0-0.
[6]	YANG Jie, ZHANG Shujie. Defect Recognition of Printed Circuit Board Based on YOLOv3-Dense [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(5): 42-48.
[7]	LIU Shaohua, SUN Jingkai, WANG Yisu, LIU Haibo, MAO Tianlu. Human Trajectory Prediction by Multi-resolution Interaction [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(5): 1-6.
[8]	LIU Jintong, YANG Guoxing, LIU Xiaohong, WANG Guangyu. Smoothing Attack Algorithm Based on Electrocardiogram Classification [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(4): 44-50.
[9]	HUANG Liuting, LIU Kexin, NIU Kai, CHANG Chun, HE Zhiqiang. Automatic Recognition of Mucus Impaction in CT Images of Asthmatic Patients Using Deep Learning [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(4): 58-63.
[10]	WU Xingkun, LUO Tao, LIU Aijun, YANG Ming, ZHANG Wenjing. Design of Neural Network Model for Auxiliary Diagnosis of Coarctation of Aorta [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(4): 1-6.
[11]	XIE Pan, PENG Caijing, HE Zhihui, ZHANG Yuan. A Sleep Staging Method Combining Grouping Convolution with Semi-Supervised Learning [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(4): 7-12.
[12]	LI Xingyuan, WANG Peng, SHEN Mu, LI Lei, ZHANG Lin. Construction of Multi-Modal Knowledge Graph for Epilepsy Related Papers [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(4): 19-24.
[13]	. Design of Three-dimensional Convolution Neural Network Model for Intelligent Aided Diagnosis of Coarctation of Aorta [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(4): 1-6.
[14]	. Construction of multi-modal knowledge graph in epilepsy [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(4): 21-27.
[15]	TIAN Liang, PAN Peng, LIU Yumin. The Inverse Design of Nanophotonic Structure Based on Neural Network [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(3): 112-116.

Application of T Immunt Fuzzy Controller for PMSM Speed Control System

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments