高建波

个人简历

研究方向

学术兼职

科研项目

代表性论文

教学工作

荣誉奖励

工作经历

2017.01-至今：研究员，齐鲁工业大学，光电学部

教育背景

1997.02-2001.01：清华大学，检测技术及自动化装置，博士

1994.09–1997.07：清华大学自动化系，电子学专业（优秀毕业生），硕士

1989.09–1994.07：清华大学自动化系，电子学专业，学士

1. 先进运动控制与高性能伺服驱动

2. 电力电子与电能变换

纵向课题

1. 2023-2026，山东省重点研发计划，“智能绿色工程机械成套装备关键技术研发及应用,”，50.4万，主持（子课题），在研

1. 2024-2026，山东省科技型中小企业创新能力提升工程（2024TSGC0677）“基于数字孪生的高功率伺服压力机控制与故障预诊断研究”，40万，主持，在研

2. 2024-2026，山东省自然科学基金面上项目，“分布式新能源接口变流装备关键控制技术研究”，10万，项目管理与总体方案设计，在研

3. 2023-2025，山东省科技型中小企业创新能力提升工程项目，“直流微电网核心装备与关键控制技术”，20万，在研

4. 2017-2019，山东省重点研发计划，“具有自主知识产权的伺服压力机智能化关键技术研究及示范应用”，800万，技术负责人，结题

5. 2019-2020，山东省科学院重大创新专项，“伺服压力机智能化关键技术研究及产业化示范应用”，600万，负责技术方案设计，结题

4. 2020-2021，齐鲁工业大学（山东省科学院）科教产融合创新试点工程，“高端伺服压力机关键基础件精益控制系统产业化开发”，625万，项目负责人，结题

技术研发

1.2019-2020，山西大运集团64000 kN全自动伺服冲压生产线电控系统总包，企业委托横向课题，1057万，结题（生产线列入2020年国家首台（套）高端装备产品目录）

2.2017-2020，8台伺服压力机电控系统总包，企业委托横向课题，1150万，结题

3.2024-2025，储能变流器关键控制技术开发，企业委托横向课题，70万，在研

期刊论文

1. J. Gao*, "Traveling Magnetic Field for Homogeneous Wireless Power Transmission," in IEEE Transactions on Power Delivery, vol. 22, no. 1, pp. 507-514, Jan. 2007.

2. Y. Li, J. Gao*, Z. Zhang and Q. Wang, "Model-Based and Model-Free Predictive Active Damping for LCL-Type Active-Front-End Rectifiers," in IEEE Transactions on Industrial Electronics, vol. 71, no. 10, pp. 11754-11765, Oct. 2024.

3. Y. Li, J. Gao, Q. Wang, Z. Zhang, F. Zhang, Z. Zhang and F. Wang, "Finite Control Set Model Predictive Control for Grid-Connected Parallel Power Converters With Guaranteed Optimality," in IEEE Transactions on Power Electronics, vol. 39, no. 10, pp. 12925-12936, Oct. 2024.

4. Q. Li, H. Li, J. Gao, Y. Xu, J. Rodriguez and R. Kennel, "Nonlinear-Disturbance-Observer-Based Model-Predictive Control for Servo Press Drive," in IEEE Transactions on Industrial Electronics, vol. 71, no. 8, pp. 8448-8458, Aug. 2024.

5. Q. Li, H. Li, J. Gao and R. Kennel, "Model Predictive Control Using the Singular Perturbation Theory for Permanent-Magnet Synchronous Machines," in IEEE Transactions on Power Electronics, vol. 39, no. 3, pp. 3533-3543, March 2024.

6. Z. Chen, J. Gao, F. Wang, Z. Ma, Z. Zhang and R. Kennel, "Sensorless Control for SPMSM With Concentrated Windings Using Multisignal Injection Method," in IEEE Transactions on Industrial Electronics, vol. 61, no. 12, pp. 6624-6634, Dec. 2014.

7. Z. Ma, J. Gao and R. Kennel, "FPGA Implementation of a Hybrid Sensorless Control of SMPMSM in the Whole Speed Range," in IEEE Transactions on Industrial Informatics, vol. 9, no. 3, pp. 1253-1261, Aug. 2013.

会议报告

1. J. Gao, Q. Li，Q. Wang, Q. Yuan, G. Zhang, S. Guan, Q. Wang, H. Cheng, Z.Jia and R. Kennel, “Servo Press Drive Using Predictive Torque Control of Induction Motor,” The 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, Nov. 20 – Nov. 22, 2021, Jinan, China.

2.J. Gao, Q. Li, Y. Lvy and J. Xing, “A Quantitative Study on Energy Saving in Stamping Industry using Servo Drive of Electric Machine,” 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC 2020-ECCE Asia), May 31 – June 3.

3.J. Gao, Q. Li, Q. Wang, W. Jiang and R. Kennel, “Servo Press Drive using Model Predictive Control of Motor Current,” 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, May 31-June 2, 2019, Quanzhou, China(最佳论文奖).

4. J. Gao, "Inductive power transmission for untethered micro-robots," 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005., Raleigh, NC, USA, 2005, pp. 6 pp.-.

5. Q. Wang, J. Gao, Y. Li, G. Dong, D. Liu, W. Zhi, Y. Sun and Y. Wang, "Model Predictive Control of Self-Contained Electro-Hydraulic Actuator Driven by Permanent Magnet Synchronous Motor," 2023 3rd International Conference on Intelligent Power and Systems (ICIPS), Shenzhen, China, 2023, pp. 28-32.

6. W. Zhi, Y.Li, Q. Wang, J. Gao, Q.Li, G. Dong, D. Liu, Y. Sun and Y. Wang, "Predictive-Based Delay Compensation for Classical VOC Control with Enhanced Transient Performance in Grid-Connected Inverters," 2023 3rd International Conference on Intelligent Power and Systems (ICIPS), Shenzhen, China, 2023, pp. 23-27.

7. D. Liu, Q. Wang, Y.Li, J. Gao, G. Dong, W. Zhi, Y. Sun and Y. Wang, "An Improved Model Predictive Control method with Luenberger Observer for Measurement Noise Suppression and Reduction of Current Ripples," 2023 3rd International Conference on Intelligent Power and Systems (ICIPS), Shenzhen, China, 2023, pp. 326-330.

8. Q. Li, Q. Chen, J. Gao, A. Li, H. Li and R. Kennel, "Application of Hybrid Model Predictive Control for Servo Press," 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), Jinan, China, 2021, pp. 426-431.

9. Q. Li, J. Gao, Q. Wang and R. Kennel, "Model Predictive Torque Control of Induction Motor Drives with Computed Torque for Servo Press," 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia), Nanjing, China, 2020, pp. 3063-3067

10. Q. Li, J. Gao, Q. Wang and R. Kennel, "Predictive torque control of induction machine with an adaptive observer for trajectory planning of servo press," 2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe), Lyon, France, 2020, pp. P.1-P.8.

11. Z. Ma, T. Friederich, J. Gao and R. Kennel, "Model based design for System-On-Chip sensorless control of Synchronous Machine," 2011 Symposium on Sensorless Control for Electrical Drives, Birmingham, UK, 2011, pp. 85-89.

指导研究生

1. 2022级硕士：治文辉、刘道杰

 2023级硕士：刘梦祺、申传跃、张孜涵

 2024级硕士：谢文豪、马吉凯、亓会泽

1. 2019年，荣获“济宁市中国特色新型智库专家”荣誉称号

2. 2019年，获得济宁市创新创业大赛优胜奖

3. 2020年，获得山东省创新创业大赛优胜奖

4. 2022年，荣获“泉城5150创新人才”荣誉称号

5. 2022年，荣获“泰山产业领军人才”荣誉称号

6. 2022年被选拔为国家人社部回国创业启动支持计划重点支持人员

7. 2024年获山东省科学技术进步二等奖（排2）