论文部分内容阅读
采用分布式控制架构可以降低变循环发动机控制系统的重量并有利于系统的开发和扩展。提出了一种完全分布式控制架构,控制算法的计算完全分布到智能执行机构中,计算所需的参数值由智能传感器通过串行数据总线发送到智能执行机构。变循环发动机完全分布式控制系统研发的主要工作是设计分散控制算法和总线通信方案。将控制回路的耦合当作总扰动的一部分,使用线性自抗扰控制器(ADRC)观测并在控制信号中消除总扰动,实现了分散控制。在CAN总线硬件的基础上,使用CANaerospace高层协议设计了时间触发的总线通信方案。从而实现了变循环发动机完全分布式控制。在MATLAB/Simulink环境下使用TrueTime工具箱搭建了仿真系统。使用TrueTime Kernel模块仿真智能执行机构与智能传感器的计算单元,使用TrueTime Network模块仿真CAN总线,并且将线性ADRC和CANaerospace协议写入到计算单元中。仿真结果表明:所建立的变循环发动机完全分布式控制系统能够适应发动机进气状况和健康状况的大范围变化,具有较好的鲁棒性。
The distributed control architecture can reduce the weight of variable cycle engine control system and facilitate the development and expansion of the system. A completely distributed control architecture is proposed. The calculation of the control algorithm is completely distributed to the intelligent actuator. The required parameter values are sent from the smart sensor to the intelligent actuator through the serial data bus. Variable circulation engine fully distributed control system research and development of the main work is to design decentralized control algorithms and bus communication solutions. Using the coupling of the control loop as part of the total disturbance, the linear disturbance rejection controller (ADRC) was used to observe and eliminate the total disturbance in the control signal to achieve decentralized control. Based on the CAN bus hardware, a time-triggered bus communication scheme is designed using CANaerospace high-level protocol. In order to achieve a completely distributed variable cycle engine control. In the MATLAB / Simulink environment using TrueTime toolbox to build a simulation system. Using the TrueTime Kernel module to simulate the computation units of smart actuators and smart sensors, the TrueTime Network module is used to simulate the CAN bus and linear ADRC and CANaerospace protocols are written into the computation unit. The simulation results show that the completely distributed control system of variable cycle engine can adapt to a wide range of changes of engine intake status and health status, and has good robustness.