您现在所在位置: 首页 >> 通知公告 >> 学生 >> 正文

西北工业大学自动化学院博士预答辩(Saleem Riaz)

2021年10月12日 16:50  点击:

答辩题目:Iterative learning Control (ILC) theory for servo control systems

答辩人:Saleem Riaz

答辩时间:2021年10月21日,16:00-18:00

答辩地点:自动化学院303

答辩内容简介:

This is the theoretical research which shows the most advanced and technical key ideas about iterative learning control for servo motion control. The iterative learning control idea was first proposed by the Japanese scholar Uchiyama in 1978. Among various advanced control techniques, iterative learning control is a very important method. It is called "learning" because when it is compared with other advanced control technologies, it has a control technology with learning ability, which can continuously improve and develop its control parameters according to the current system control effect to achieve satisfactory results. Industrial tasks mainly include PMSM servo control systems which are in repetition and controlled by an Iterative teaching controller in both iteration and time-domain makes ILC unique.

ILC is becoming very popular among control engineers because of its straightforward and effective control techniques. This research describes the essential key knowledge about ILC and its types of applications, especially for PMSM servo control systems. The core concern of this research is to elaborate and explore the future scope and critical application areas of iterative learning PMSM servo control in engineering and other subjects of interest. The iterative learning control theory was initially proposed with industrial robots as the research background, so it has a solid industrial experience. In a system that requires a cyclic operation, the application of classical control theory and modern control theory technology is challenging to achieve satisfactory control results, especially in servo motion control systems that run at high or very low speed for a short period, because traditional control theory is based on steady-state error control. It often takes a certain amount of time to reach a steady state, so the performance of classical control and modern control theory is always unsatisfactory. Therefore, when the iterative learning control theory was proposed, its efficient performance in control tracking made it widely used in the control of PMSM servo dynamical systems. It has attracted many research scholars and achieved a considerable number of scientific research results, particularly in PMSM servo control systems. I have focused on the theoretical contribution in this thesis, which is based on recent industrial problems and drawbacks and their solutions for servo control applications.

答辩人简介:

Saleem Riaz was born in 1990.He received his B.S. in Electrical Engineering from University of Engineering and technology, Lahore, Punjab, Pakistan in 2013.He did MS in Vehicle operation engineering through School of Aeronautics from Northwestern Polytechnical University in 2017. He is currently a Ph. D research scholar at Northwestern Polytechnical University. His research is focused on trajectory optimization where the use of ILC is central tool. His research interests include power electronics, electric vehicles, motion control, and control theory.

E-mail: saleemriaznwpu@mail.nwpu.edu.cn

上一条:​西北工业大学自动化学院博士开题答辩(SARDAR, MUHAMMAD USMAN) 下一条:​西北工业大学自动化学院博士答辩(张希)

版权所有Copyright © 2020 西北工业大学自动化学院