The multi-objective optimal control with X - Q adaptive controller

This paper proposes a new type of nonlinear controllers and a large phase angle allowance design method based on the multi-objective optimal control system. With the proposed method, the performance of the system becomes better than that of the original system. Then, an example of the radar servo system is designed with a large phase angle allowance multi-objective optimal design method. Finally, the performance based on computer simulation demonstrates that the multi-objective optimal system is superior to linear optimal systems. This work was partly supported by the Natural Science Foundation of Guangdong (No.06023131). Qing HU received his M.S. degree in Automation Science and Engineering from Wuhan University of Technology in 1993. He has been a doctoral researcher. His research interests are in automation control, servo system optimal design and system fault diagnosis technology. He is currently an assistant professor in College of Information Engineering in Guangdong University of Technology. Yiju ZHAN received his Ph.D. in Control Science and Engineering from the University of Hong Kong in 1997. His research interests are in automation control, intelligent information and automation distinguishing technology. He is currently a professor at the Engineering College in SUN YAT-SEN University.