Abstract
This paper proposes a new fuzzy preview control method for an electro-hydraulic suspension system to further improve the suspension performance and extend the results to practical situations that use the actual actuator in a preview suspension system. A new augmented system that includes hydraulic actuators and preview information of road disturbances is proposed and described by the T-S fuzzy system. Based on the parallel distributed compensation (PDC) and multi-objective H∞/GH2 control design scheme, the fuzzy preview controller is designed for a newly obtained model in which the closed-loop suspension system is asymptotically stable with guaranteed robust performance in the H∞ sense. The simulation results clearly validate the effectiveness of the proposed controllers in terms of its suspension performance.
| Original language | English |
|---|---|
| Pages (from-to) | 2489-2500 |
| Number of pages | 12 |
| Journal | International Journal of Control, Automation and Systems |
| Volume | 16 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2018 Oct 1 |
Bibliographical note
Funding Information:Manuscript received October 26, 2017; revised February 5, 2018; accepted March 4, 2018. Recommended by Associate Editor Ho Jae Lee under the direction of Editor Euntai Kim. This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant No. NRF-2016R1D1A1B01016071).
Funding Information:
Recommended by Associate Editor Ho Jae Lee under the direction of Editor Euntai Kim. This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant No. NRF-2016R1D1A1B01016071). Hyun Duck Choi received the B.S. and integrated M.S/Ph.D. degrees in electrical engineering from Korea University, Seoul, South Korea, in 2011 and 2017, respectively. Since 2017, he has been a Senior Research Engineer with the Hyundai Mobis. His current research interests include fuzzy systems, neural networks, robust control, finite impulse response filters, finite memory controls, nonlinear systems, and their application to vehicle suspension systems. Chang Joo Lee received his B.S. degree in the School of Electronic Engineering from Soongsil University, Seoul, Korea in 2012. Since 2012, he has been a Ph.D. candidate in the School of Electrical Engineering, Korea University. His current research interests include fuzzy systems, neural networks, robust control, FIR filters, finite memory controls, nonlinear systems, and advanced driver assistance systems. Myo Taeg Lim received his B.S. and M.S. degrees in Electrical Engineering from Korea University, Korea, in 1985 and 1987, respectively. He also received M.S. and Ph.D. degrees in Electrical Engineering from Rutgers University, NJ, USA, in 1990 and 1994, respectively. He was a Senior Research Engineer, Samsung Advanced Institute of Technology and an Assistant Professor in the Department of Control and Instrumentation, National Changwon University, Korea. Since 1996, he has been a Professor in the School of Electrical Engineering at Korea University. His research interests include optimal and robust control, vision based motion control, and autonomous mobile robots. He is the author or coauthor of more than 80 journal papers and two books (Optimal Control of Singularly Perturbed Linear Systems and Application: High-Accuracy Techniques, Control Engineering Series, Marcel Dekker, New York, 2001; Optimal Control: Weakly Coupled Systems and Applications, Automation and Control Engineering Series, CRC Press, New York, 2009). Dr. Lim currently serves as an Editor for International Journal of Control, Automation, and Systems. He is a Fellow of the Institute of Control, Robotics and Systems, and a member of the IEEE and Korea Institute of Electrical Engineers.
Publisher Copyright:
© 2018, Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords
- Electro-hydraulic suspension system
- Takagi-Sugeno (T-S) fuzzy systems
- fuzzy preview control
- half-vehicle suspension system
- multi-objective H/GH control
- parallel distributed compensation (PDC)
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications