控制理论(社会学)
阻尼器
磁流变液
控制器(灌溉)
工程类
振动控制
隔振
振动
模糊控制系统
主动振动控制
模糊逻辑
计算机科学
控制工程
控制(管理)
物理
人工智能
生物
量子力学
农学
作者
Shizhe Song,Chunrong Hua,Yan Huang,Dingzhong Cai,Dawei Dong,Bing Yan
标识
DOI:10.1177/10775463231222775
摘要
Powerpacks are commonly used as the power source in diesel multiple units (DMUs) due to their flexibility and economy. In order to enhance the ride comfort of DMUs at full operating conditions, it is a great challenge to design a multiple objectives semi-active control system to reduce the transmission force to the DMU, vibration intensity at start-stop conditions, and structural vibration in stable operating conditions. A fuzzy semi-active control system incorporating magneto-rheological (MR) dampers and vibration isolators with small stiffness coefficients is designed. Firstly, a rigid-flexible coupling powerpack model is established to reflect the rigid body and structural vibration characteristics. Next, an MR damper’s dynamic behavior at full operating conditions is investigated experimentally, direct and inverse models are established using a genetic algorithm backpropagation (GA-BP) neural network. Then, a variable universe hybrid fuzzy controller is designed for the multiple objectives requirements, including quick response during low-frequency start-stop conditions and effective suppression of structural vibration during high-frequency stable operating conditions. Finally, the vibration isolation performance of the powerpack is verified by simulation and experiments, demonstrating the effectiveness of the semi-active control system with MR dampers and the variable universe hybrid fuzzy controller at full operating conditions.
科研通智能强力驱动
Strongly Powered by AbleSci AI