一、深圳大学自动化研究所简介

深圳大学自动化研究所由控制学科负责人曹广忠教授任主任,钱清泉院士为实验室学术委员会主任,于20138月由深圳市政府正式批准建立,现有面积约300平方米;拥有dSPACE快速控制平台、动态信号分析仪、脑电事件相关电位分析系统、功率分析仪、电机综合参数测试平台、电磁测量平台、传感器信息综合测试测量系统、激光测振仪、振动噪声信号测试平台、6/7自由度机器人、图像采集与处理平台等一批仪器设备,固定资产近1000万元。                    

研究方向涵盖:1)智能控制理论及应用;2)电机与磁悬浮系统设计、驱动与控制;3)机器视觉检测;4)物联网大数据分析;5)机器人控制技术;6)故障预测与健康管理。围绕自动化、机器人、物联网、新能源等科学技术的发展需求,开展前沿性的理论与应用研究,志在对控制科学与工程、智能制造等学科的持续进步起到战略支撑作用,成为深圳市在先进智能装备与物联网等领域的国内一流、具有国际影响力的高水平研究基地和人才培养基地。    

目前已形成一支高水平的科研队伍。现有全职科研人员20余名,其中教授4名、副教授7名、具有博士学位人员14名,15人具有海外留学经历,广东省高校“千百十”人才、深圳市地方级领军人才、孔雀计划人才6名,在读博士、硕士研究生100余人。实验室先后荣获广东省科技进步二等奖与三等奖、深圳市科技创新奖、深圳市科技进步一等奖等;研究团队现承担了科研项目40余项,其中国家科技重大专项1项、国家自然科学基金9项、中国工程院重点咨询研究项目3项、国家科技支撑计划2项、广东省自然科学基金等省部级课题9项,深圳市科技计划项目及企业课题20余项;申请专利50余件,授权专利30余件;近3年在IEEEIET系列国际顶级及国内高水平学术刊物上发表论文150余篇,被SCI收录50余篇,EI及中文核心数据库收录60余篇;出版中英文专著7部。    

与国内外合作交流广泛。实验室是美国TI公司联合实验室、美国Microchip(Atmel)联合实验室、深圳创科视觉联合实验室,与美、澳、香港等地多所知名大学、机构建立了科研合作关系。在特种电机与磁悬浮控制系统、智能算法及其建模应用、产品缺陷的视觉检测、工业装备与集装箱物联网、工业大数据分析、焊接等工业机器人与康复医疗机器人、以及工业自动化装备的故障预测与健康管理等方面研究,显示出独特的优势,与深圳市产业界合作卓有成效。    

研究生培养特色显著。与中集集团合作的研究生培养基地“深圳大学—中集集团/中集智能”是全国示范性工程专业学位研究生联合培养基地和广东省联合培养研究生示范基地。已培养了大批优秀研究生,分别被华为、腾讯、中兴、中集、西门子、三星、施耐德、飞利浦、深圳地铁、中国移动、迈瑞、大疆、大族、汇川、比亚迪等知名企事业单位录取或攻读博士。

 

二、代表性成果

[1] S. D. Huang, G. Z. 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中科院JCR 1)          

[2] G. Z. Cao, L. L. Li, S. D. 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] S. D. Huang, G. Z. 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中科院JCR 1)            

[4]黄苏丹,刘淮源,曹广忠*,.基于自适应遗传算法的LED器件多应力条件下寿命快速评估系统模型.中国科学:技术科学, 2016, 46(09): 940-949.       

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

[16] Jundi Sun, Guangzhong 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中科院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)