Intelligent Adaptive PID Control for the Shaft Speed of a Marine Electric Propulsion System Based on the Evidential Reasoning Rule

被引:2
|
作者
Zhang, Xuelin [1 ]
Xu, Xiaobin [1 ]
Xu, Xiaojian [2 ]
Hou, Pingzhi [1 ]
Gao, Haibo [3 ]
Ma, Feng [4 ]
机构
[1] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China
[2] China Waterborne Transport Res Inst, Beijing 100088, Peoples R China
[3] Wuhan Univ Technol, Sch Energy & Power Engn, Wuhan 430063, Peoples R China
[4] Smart Waterway Co Ltd, Nanjing 210028, Peoples R China
关键词
evidential reasoning; adaptive PID controller; shaft speed control; marine electric propulsion system; sequential linear programming;
D O I
10.3390/math11051145
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
To precisely and timely control the shaft speed for a marine electric propulsion system under normal sea conditions, a new shaft speed control technique combining the evidential reasoning rule with the traditional PID controller was proposed in this study. First, an intelligent adaptive PID controller based on the evidential reasoning rule was designed for a marine electric propulsion system to obtain the PID parameters K-P, K-I, and K-D. Then, a local iterative optimization strategy for model parameters was proposed. Furthermore, the parameters of the adaptive PID controller model were optimized in real time by using the sequential linear programming algorithm, which enabled the adaptive adjustment of K-P, K-I, and K-D. Finally, the performance of the adaptive PID controller regarding the shaft speed control was compared with that of other controllers. The results showed that the adaptive PID controller designed in this study had better control performance, and the shaft speed control method based on the adaptive PID controller could better control the shaft speed of the marine electric propulsion system.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] Marine engine rotational speed control automatic system based on Fuzzy PID logic controller
    2017, Institute of Electrical and Electronics Engineers Inc., United States
  • [32] Marine Engine Rotational Speed Control Automatic System Based on Fuzzy PID Logic Controller
    Tran, Tien Anh
    Yan, Xinping
    Yuan, Yupeng
    2017 4TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS), 2017, : 1099 - 1104
  • [33] RESEARCH ON ADAPTIVE FUZZY PID CONTROL OF MEDICAL ROBOT SPEED CONTROL SYSTEM
    Wang, H. R.
    Ding, J.
    Li, Y.
    Zhong, J. Y.
    Wang, Y.
    Li, Y. F.
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2016, 119 : 40 - 40
  • [34] Intelligent control system based on fuzzy-reasoning
    Li, GY
    Ma, ZF
    ISTM/2005: 6TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-9, CONFERENCE PROCEEDINGS, 2005, : 2029 - 2032
  • [35] Reliability assessment of train control and management system based on evidential reasoning rule and covariance matrix adaptation evolution strategy algorithm
    Zhang, Bangcheng
    Zhang, Aoxiang
    Hu, Guanyu
    Chang, Zhenchen
    Zhou, Zhijie
    Yin, Xiaojing
    ISA TRANSACTIONS, 2021, 116 : 129 - 138
  • [36] Evidential KNN-based Performance Monitoring Method for PID Control System
    Xu, Ming
    Wang, Peihong
    2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020), 2020, : 593 - 597
  • [37] A High Accurate Adaptive Temperature Control Algorithm Based on Fuzzy Reasoning and PID Control
    Guo, Tiantian
    Wang, Qingtao
    Shen, Qing
    2013 INTERNATIONAL CONFERENCE ON PROCESS EQUIPMENT, MECHATRONICS ENGINEERING AND MATERIAL SCIENCE, 2013, 331 : 352 - 355
  • [38] Design of Air Source Heat Pump Intelligent Temperature Control System Based on Adaptive Fuzzy PID Control
    Gao Long
    Yang Yi
    Ren Xiaolin
    Chen Jianbo
    Mei Tianxiang
    Zhang Guihong
    Jiao Ziyun
    Han Qingqing
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 7039 - 7044
  • [39] Development of Intelligent User Behavior Based Adaptive Rule Based System
    Kohli, Shruti
    Kumar, Ela
    Joshi, B. P.
    IIT: 2008 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION TECHNOLOGY, 2008, : 651 - 655
  • [40] Simulation of Induction Motor direct torque control system for marine electric propulsion
    Luo Chenghan
    Chen Hui
    2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 2287 - 2289