Application of double closed-loop multi-coupling serial control data decoupling techniques to aircraft cockpit loop control systems

The temperature, pressure, angle and rotation control products involved in in-flight cockpit loop control mostly use double closed-loop multi-coupling cascade control technology, involving two or more controlled indicators, and the control orientation has the effect of cascade control, and the coupling phenomenon is serious, resulting in poor control effect or only one controlled object can be controlled well. The aim of this project is to discover the laws governing the generation of dual closed-loop multi-coupled cascade control data, learn from the experimental data using BP neural networks, fit the formulas and optimise the processing for eventual application in the control engineering of aircraft cockpit loop control systems.