A novel optimal approach for control law of multi-rate systems with different rate operations

被引:0
作者
Roosta, Alireza [1 ]
Soltanimehr, Alireza [1 ]
机构
[1] Shiraz Univ Technol, Power & Control Dept, Modarres Blvd, Shiraz 7155713876, Fars, Iran
关键词
Control law; Guidance; Multi-rate systems; Sampled systems; SAMPLED-DATA CONTROL; MODEL;
D O I
10.2478/ijssis-2022-0001
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The main purpose of this study is to propose a method to achieve optimal response and performance of the multi rate systems in existence of different sampling rates and to avoid data losses in such systems. In this paper, a new approach based on the multi-rate digital system is proposed. Based on this method, we will be able to maintain optimal performance of these systems without losing data, in addition to establishing connections between subsystems with different sampling rates. By the proposed method, not only the effect of different sampling rates in multi-rate systems is ignored, but also, we can connect subsystems with different rate operations without compromising system performance and data loss which simplified system design and sensor selection by the digital system designers. This means the designer can choose any sensor without concerning about the sampling rate and the operation rate of the system and matching them together. Finally, a guided missile with different sampling rates between the seeker, autopilot, guidance law and the output feedback are simulated and its effective performance in pursuit, hitting and smooth motion toward the target in a motion scenario is shown.
引用
收藏
页数:10
相关论文
共 14 条
[1]  
Farrett D, 2002, P AMER CONTR CONF, V1-6, P4092, DOI 10.1109/ACC.2002.1024570
[2]   Parameter estimation for multirate multi-input systems using auxiliary model and multi-innovation [J].
Han, Lili ;
Ding, Feng .
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2010, 21 (06) :1079-1083
[3]  
Harvey C.A., 1982, CONTROL DYNAMIC SYST, V18, P161
[4]  
Jacquot RG, 2019, Modern digital control systems
[5]  
Kellermann W., 1988, ICASSP 88: 1988 International Conference on Acoustics, Speech, and Signal Processing (Cat. No.88CH2561-9), P2570, DOI 10.1109/ICASSP.1988.197170
[7]  
Lee CH, 2019, 2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019), P476, DOI 10.1109/SSCI44817.2019.9002789
[8]  
Lee HK, 2019, ROUTL HANDBK, P1
[9]   Analysis of dual-rate inferential control systems [J].
Li, DG ;
Shah, SL ;
Chen, TW .
AUTOMATICA, 2002, 38 (06) :1053-1059
[10]  
Ma H., 2020, KALMAN FILTERING INF, P199