The ability of a high-altitude test bench flight environment simulation system to accurately simulate high-altitude environmental parameters plays a crucial role in the performance testing and evaluation of aviation e...
详细信息
ISBN:
(纸本)9798350366907;9789887581581
The ability of a high-altitude test bench flight environment simulation system to accurately simulate high-altitude environmental parameters plays a crucial role in the performance testing and evaluation of aviation engines. However, the strong coupling between controlled pressure and temperature variables in the core air intake environment simulation subsystem, along with sensor measurement noise, limits the overall control quality of environmental parameters. For this purpose, this paper proposes an adaptive active disturbance rejection control based on coupling degree identification, abbreviated as AADRC, which efficiently matches the system control channels while solving the flight environment simulation control problems caused by variable coupling and measurement noise. Based on the relative gain array method, the coupling degree of the control variables of the linearized system is identified, providing a matched control loop for the high-temperature gas control valve and the low-temperature gas control valve. Considering the impact of sensor measurement noise on the performance of active disturbance rejection control, an adaptive extended state observer with adaptive bandwidth adjustment method based on relative gain array method, referred to as AESO, is proposed.
The ability of a high-altitude test bench flight environment simulation system to accurately simulate high-altitude environmental parameters plays a crucial role in the performance testing and evaluation of aviation e...
详细信息
ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
The ability of a high-altitude test bench flight environment simulation system to accurately simulate high-altitude environmental parameters plays a crucial role in the performance testing and evaluation of aviation engines. However, the strong coupling between controlled pressure and temperature variables in the core air intake environment simulation subsystem, along with sensor measurement noise, limits the overall control quality of environmental parameters. For this purpose, this paper proposes an adaptive active disturbance rejection control based on coupling degree identification, abbreviated as AADRC, which efficiently matches the system control channels while solving the flight environment simulation control problems caused by variable coupling and measurement noise. Based on the relative gain array method, the coupling degree of the control variables of the linearized system is identified, providing a matched control loop for the high-temperature gas control valve and the lowtemperature gas control valve. Considering the impact of sensor measurement noise on the performance of active disturbance rejection control, an adaptive extended state observer with adaptive bandwidth adjustment method based on relative gain array method, referred to as AESO, is proposed.
暂无评论