基于单神经元自适应PID联合动力装置实验台的测功机控制器研究

The study of hydraulic dynamometer controller of power plant experiment-rig based on the single neuron self-adaptation PID

根据PID控制结构提出一种新型的单神经元自适应PID控制器,并对其基本结构和学习算法进行了分析。结合舰船电力推进原动机多模块化组合实验台的控制要求,对实验台负荷特性模拟设备—水力测功机的常规PID控制器进行改进,满足了实验台在不同工况下实验的要求,同时也为各种组合模块的性能研究提供了可靠的试验平台。

A new single neuron self-adaptability PID controller is proposed based on the PID controller structure. Its basic structures and algorithm are analyzed. In the light of control demand of multiple model combination experiment-fig of electrical propulsion motive power of warship, the PID controller of hydraulic dynamometer which simulated the load characteristic is improved and met experiment demands at different work conditions which supplied performance research of multiple combination model with reliable experiment platform.