Intelligent Coordinate Control of Pneumatic Pressure Signal Generator of Airplane Engine Inlet Test System Based on Fuzzy Neural Network

This paper presents an intelligent coordinate control method and its application. An intelligent coordinate controller was designed based on the combination of expert intelligent coordinator, expert controller and fuzzy neural network controller. The expert intelligent coordinator assigns the expert controller and fuzzy neural network controller to control the plant independently or coordinately. The controller was applied to the pneumatic pressure signal generator with delay, nonlinear and time-variable characteristics, established to generate pneumatic pressure signals for test system of airplane engine inlet. The experiments proved that the controller has the property of less overshoot, quick response and high tracking precision, compared with conventional PID controller. This control method improved the dynamic response and steady state accuracy of the generator. This provides the beneficial reference for improving the control performance of such system.