Introduction to Institute of Automation, Shenzhen University

The Institute of Automation of Shenzhen University is headed by Professor Cao Guangzhong, who is in charge of the control discipline, and academician Qian Qingquan is the director of the laboratory's academic committee. It was officially approved by the Shenzhen Municipal Government in August 2013. The current area is about 300 square meters; it has the dSPACE rapid control platform, dynamic signal analyzer, EEG event-related potential analysis system, power analyzer, motor comprehensive parameter test platform, electromagnetic measurement platform, sensor information comprehensive test and measurement system, laser vibrometer, vibration and noise signal test platform, and a batch of instruments and equipment such as the degree of freedom robot, image acquisition and processing platform, etc., with fixed assets of nearly 10 million Yuan.

Research directions include: 1) Intelligent control theory and application; 2) Motor and magnetic levitation system design, drive, and control; 3) Machine vision inspection; 4) Internet of Things big data analysis; 5) Robot control technology; 6) Fault prediction and health management Focusing on the development needs of automation, robotics, the Internet of Things, new energy, and other science and technology, we will carry out cutting-edge theoretical and applied research, aiming to play a strategic role in supporting the continuous progress of control science and engineering, intelligent manufacturing, and other disciplines and becoming Shenzhen, a domestic first-class and internationally influential high-level research base and talent training base in the fields of advanced intelligent equipment and the Internet of Things.

At present, a high-level scientific research team has been formed. At present, there are more than 20 full-time scientific research personnel, including 4 professors, 7 associate professors, 14 personnel with doctoral degrees, and 15 people with overseas study experience. "Thousand Hundred Ten" talents in universities in Guangdong Province, local leading talents in Shenzhen, Peacock There are 6 planned talents and more than 100 doctoral and master students. The laboratory has won the second and third prizes of the Guangdong Science and Technology Progress Award, the Shenzhen Science and Technology Innovation Award, the first prize of the Shenzhen Science and Technology Progress Award, etc.; the research team has undertaken more than 40 scientific research projects, including 1 major national science and technology project, 9 projects of the National Natural Science Foundation of China, 3 key consulting research projects of the Chinese Academy of Engineering, 2 projects of the National Science and Technology Support Program, 9 provincial and ministerial projects such as the Natural Science Foundation of Guangdong Province, and more than 20 projects of Shenzhen Science and Technology Plan Projects and enterprise projects; patent applications More than 50 pieces, more than 30 authorized patents; published more than 150 papers in the IEEE and IET series of top international and domestic high-level academic journals in the past 3 years; more than 50 papers were included in SCI; and more than 60 papers were included in EI and Chinese core databases; published 7 Chinese and English monographs.

Extensive cooperation and exchanges with domestic and foreign The laboratory is a joint laboratory of TI Company in the United States, a joint laboratory of Microchip (Atmel) in the United States, and a joint laboratory of Shenzhen Chuangke Vision. It has established scientific research cooperation with many well-known universities and institutions in the United States, Australia, Hong Kong, and other places. In special motors and magnetic levitation control systems, intelligent algorithms and their modelling applications, visual inspection of product defects, industrial equipment and container Internet of Things, industrial big data analysis, welding and other industrial robots, rehabilitation medical robots, and fault prediction of industrial automation equipment Research on health management and other aspects has shown unique advantages, and cooperation with Shenzhen's industrial circles has been fruitful.

The characteristics of postgraduate training are remarkable. The postgraduate training base "Shenzhen University-CIMC Group/CIMC Intelligent" cooperating with CIMC is a national exemplary joint training base for graduate students with engineering degrees and a demonstration base for joint training postgraduates in Guangdong Province. A large number of outstanding graduate students have been trained, and they have been admitted by well-known enterprises and institutions such as Huawei, Tencent, ZTE, CIMC, Siemens, Samsung, Schneider, Philips, Shenzhen Metro, China Mobile, Mindray, DJI, Han's, Inovance, BYD, etc. Study for a Ph.D.

Representative achievements

[1] SD Huang, GZ Cao*, et al. Nonlinear Modeling of the Inverse Force Function for the Planar Switched Reluctance Motor Using Sparse Least Squares Support Vector Machines. IEEE Transactions on Industrial Informatics, 2015, 11(3): 591-600 . (SCI, Chinese Academy of Sciences JCR 1)

[2] GZ Cao, LL Li, SD Huang, et al. Nonlinear Modeling of Electromagnetic Forces for the Planar-Switched Reluctance Motor. IEEE Transactions on Magnetics, 2015, 51(11): 1-5. (SCI)

[3] SD Huang, GZ Cao*, et al. Maximum-Force-per-Ampere Strategy of Current Distribution for Efficiency Improvement in Planar Switched Reluctance Motors. IEEE Transactions on Industrial Electronics, 2016, 63(3): 1665-1675. (SCI, Chinese Academy of Sciences JCR 1)

[4] Huang Sudan, Liu Huaiyuan, Cao Guangzhong*, et al. Rapid Lifetime Evaluation System Model of LED Devices under Multiple Stress Conditions Based on Adaptive Genetic Algorithm. Chinese Science: Technical Science, 2016, 46(09): 940-949.

[5] Y. Peng, T. Wu, GZ Cao*, S. Huang, et al. A Hybrid Search-Tree Discriminant Technique for Multivariate Wear Debris Classification, Wear, 2017, 392-393: 152-158. (SCI, Chinese Academy of Sciences JCR 2)

[6] S. D. Huang, L. Zhou, G. Z. Cao*, et al. A Novel Multiple-Stress-Based Predictive Model of LEDs for Rapid Lifetime Estimation. Microelectronics Reliability, 2017, 78: 46-52. (SCI)

[7] Guangzhong Cao, Songbo Ruan, Yeping Peng, Sudan Huang, Ngaiming Kwok. Large-Complex-Surface Defect Detection by Hybrid Gradient Threshold Segmentation and Image Registration. IEEE Access, 2018, 6(1): 36235- 36246. (SCI，中科院JCR 2)

[8] Guang-Zhong Cao, Jin-Chang Guo, Su-Dan Huang, et al. Noise characteristics of the planar switched reluctance motor. Advances in Mechanical Engineering, 2018, 10(5): 1-12. (SCI)

[9] Guang -Zhong Cao, Nan Chen, Su -Dan Huang, Song-Song Xiao, Jiangbiao He. Nonlinear Modeling of the Flux Linkage in 2-D Plane for the Planar Switched Reluctance Motor. IEEE Transactions on Magnetics, 2018, 54 (11): 8205805. (SCI)

[10] Hong- Jin Hu, Guang -Zhong Cao*, Su -Dan Huang, Chao Wu, Jin -Chang Guo, De-Liang Liang, Rui- Kun Mai. Design and Analysis of a Planar Flux-Switching Permanent Magnet Motor. IEEE Transactions on Magnetics, 2018, 54(11): 8205606. (SCI)

[11] Yukang Cui, Jun Shen, Guang-Zhong Cao*, Estimation and synthesis of reachable set for delta operator systems, Nonlinear Analysis: Hybrid Systems, 2019, 32: 267-275. (SCI，中科院JCR 1)

[12] Huaizhi Wang, Jiaqi Ruan, Bin Zhou, CanBing Li , Qiuwei Wu, Muhammad Qamar Raza, Guangzhong Cao. Dynamic Data Injection Attack Detection of Cyber-Physical Power Systems with Uncertainties. IEEE Transactions on Industrial Informatics, 2019, DOI: 10.1109/ TII.2019.2902163. (SCI，中科院JCR 1)

[13] Huang SD, Cao GZ*, Peng YP, Wu C, Liang DL, He JB. Design and Analysis of a Long-Stroke Planar Switched Reluctance Motor for Positioning Applications. IEEE Access. 2019, 7: 22976-22987. (SCI，中科院JCR 2)

[14] Huaizhi Wang, Jiaqi Ruan, Zhengwei Ma, Bin Zhou, Xueqian Fu, Guangzhong Cao. Deep learning aided interval state prediction for improving cyber security in energy internet, Energy, 2019, 174: 1292-1304. (SCI，中科院JCR 2)

[15] Yeping Peng, Songbo Ruan , Guangzhong Cao*, Sudan Huang, Ngaiming Kwok, Shengxi Zhou. Automated product boundary defect detection based on image moment feature anomaly. IEEE Access, 2019, (accepted). (SCI, Chinese Academy of Sciences JCR 2)

[16] Jundi Sun, Guangzhou Cao*, Sudan Huang, Yeping Peng, Jiangbiao He, Qingquan Qian. Sliding-Mode-Observer-Based Position Estimation for Sensorless Control of the Planar Switched Reluctance Motor. IEEE Access, 2019, (accepted). (SCI, Chinese Academy of Sciences JCR 2)

[17] Hong-Jin Hu, Guang-Zhong Cao, Su-Dan Huang, Chao Wu, Ye-Ping Peng. Drive circuit-based torque-ripple suppression method for single-phase BLDC fan motors to reduce acoustic noise. IET Electric Power Applications, 2019, DOI: 10.1049/iet-epa.2018.5234. (SCI，中科院JCR 3)

[18] Guang-Zhong Cao, Wen-Bo Li, Su-Dan Huang, Jiang-Biao He. Modeling, Analysis, and Implementation of a Novel Wireless-Moving-Levitating System with Multiple Magnetic Fields. Electric Power Components and Systems, 2019, DOI: org/10.1080/ 15325008.2019.1582565 (SCI)