8month1Day,Shandong University’s summer overseas faculty project “Predictive Control of Power Converters” successfully concluded。Course from7month25Lectures will start on today and continue8Days by Iran Shaheed·Rajaai Normal UniversityAlireza DavariProfessor serves as the keynote speaker，Associate Researcher Li Zhen of the School of Electrical Engineering serves as the host。Total teachers and students from the School of Electrical Engineering15People participated in the course through DingTalk.

Predictive control has been recognized as a direct and practical control method in the field of power electronics and drives。Over the past ten years，This method has been intensively studied and has begun to be used in some applications in the industry。DavariProfessor has been engaged in research on advanced predictive control methods in recent years，Has unique insights into predictive control。This course starts with the basic knowledge of predictive control。Subsequently，DavariThe professor introduced three different types of predictive control，Predictive control based on hysteresis loop、Deadbeat control and model predictive control，And explained the finite set model predictive control in detail，And explains how to apply predictive control to various power converters and drive systems。In addition，The latest progress in combined predictive control，DavariThe professor explained cutting-edge knowledge such as sensorless applications and weight coefficient optimization in predictive control。End of course，DavariThe professor prepared course test questions for the students，Students participate on time，Complete all course tests。

This timeIn the course "Predictive Control of Power Converters"，DavariProfessor combines his own understanding with predictive control，Explain in simple terms，Explain clearly the development background and basic principles of predictive control，Be able to contact the latest research hot spots，The lectures are interspersed with teacher-student discussion sessions，Lecture content is enriched、Rich forms，Let students have a deep understanding of predictive control of power converters。