首页> 外文会议>Proceedings of the ASME dynamic systems and control conference 2009 >FEASIBILITY STUDY ON THE USE OF A VOICE COIL MOTOR DIRECT DRIVE FLOW RATE CONTROL VALVE
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FEASIBILITY STUDY ON THE USE OF A VOICE COIL MOTOR DIRECT DRIVE FLOW RATE CONTROL VALVE

机译:使用语音线圈电机直接驱动流量控制阀的可行性研究

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This paper considers the feasibility of a new type of voice coil motor direct drive flow control servo valve. The proposed servo valve controls the flow rate using only a direct measurement of the spool position. A neural network is used to estimate the flow rate based on the spool position, velocity and coil current. The estimated flow rate is fed back to a closed loop controller. The feasibility of the concept is established using simulation techniques only at this point. All results are validated by computer co-simulation using AMESim and Simulink. A simulated model of a VCM-DDV (Voice Coil Motor-Direct Drive Valve) and hydraulic test circuit are built in an AMESim environment. A virtual digital controller is developed in a Simulink environment in which the feedback signals are received from the AMESim model; the controller outputs are sent to the VCM-DDV model in AMESim (by interfacing between these two simulation packages). A LQR (Linear Quadratic Regulator) state feedback and nonlinear compensator controller for spool position tracking is considered as this is the first step for flow control. A flow rate control loop is subsequently included via a neural network flow rate estimator. Simulation results show that this method could control the flow rate to an acceptable degree of precision, but only at low frequencies. This kind of valve can find usage in open loop hydraulic velocity control in many industrial applications.
机译:本文考虑了新型音圈电机直接驱动流量控制伺服阀的可行性。建议的伺服阀仅通过直接测量阀芯位置来控制流量。神经网络用于根据阀芯位置,速度和线圈电流估算流量。估计的流量将反馈到闭环控制器。仅在这一点上,使用仿真技术才能确定该概念的可行性。所有结果均通过使用AMESim和Simulink的计算机协同仿真进行验证。在AMESim环境中建立了VCM-DDV(音圈电机直接驱动阀)和液压测试回路的仿真模型。在Simulink环境中开发了虚拟数字控制器,在该环境中,从AMESim模型接收反馈信号。控制器的输出被发送到AMESim中的VCM-DDV模型(通过这两个仿真包之间的接口)。用于阀芯位置跟踪的LQR(线性二次调节器)状态反馈和非线性补偿器控制器被认为是流量控制的第一步。随后经由神经网络流量估计器包括流量控制回路。仿真结果表明,该方法可以将流量控制在可接受的精度水平,但仅限于低频。这种阀可以在许多工业应用中用于开环液压速度控制中。

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