Abstract
This study is a basic research for the design of active mass dampers' controller using neural oscillators. The neural cells called neural oscillator consist the CPGs (Central Pattern Generator) and have characteristics of no-liner oscillators, and have significant roles for animal walking. One of the most important characteristic is synchronization with sinusoidal external forces. Thus, the CPGs can adapt to the environment changes and make the walking system fulfill the potential. Our recent study, properties of the CPGs are tried to install to the active controller for mass dampers, and the mitigation performance, the evaluation method and the design method of proposed controller have been studied. Especially, on the evaluation method, our prier research shows that proposed controller's performance depends on the synchronization property of CPG constituting the controller. However, there is no study how to select the neural network for the vibration mitigation controller. On this paper, we discuss a synchronization property of connected neural network constituted by twin-oscillators, and disclose its synchronization region and phase locking points which work as important role for proposed controller.
