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

Xuelin Zhang, Xiaobin Xu (), Xiaojian Xu, Pingzhi Hou, Haibo Gao and Feng Ma
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Xuelin Zhang: School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Xiaobin Xu: School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Xiaojian Xu: China Waterborne Transport Research Institute, Beijing 100088, China
Pingzhi Hou: School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Haibo Gao: School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China
Feng Ma: Smart Waterway Co., Ltd., Nanjing 210028, China

Mathematics, 2023, vol. 11, issue 5, 1-23

Abstract: 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.

Keywords: evidential reasoning; adaptive PID controller; shaft speed control; marine electric propulsion system; sequential linear programming (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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