A novel strategy for smart control by micro-scale oscillatory networks of the reactionary zones for enhanced operational capabilities of the next-generation solid propulsion systems

摘要

The ability to actively throttle would substantially increase the flexibility of a solid propulsion systems regardless of the mission profile. Fundamental understanding of the micro-scale combustion mechanisms is essential to the development of the next generation technologies for extreme control of the propellant thrust and control by combustion instabilities. Both experiments and theory confirm that the micro- and nano- scale oscillatory networks excitation in the solid propellants reactionary zones is a rather universal phenomenon. In accordance with our new concept, the micro- and nano- scale structures form both the fractal and self-organized wave patterns in the energetic materials (EM) reactionary zones. In particular for each exact frequency of the oscillatory process in the reactionary zone corresponds the unique self-organized spacial patterns of the micro- and nano- scale structures. A novel strategy for smart real-time control of the thrust and combustion instabilities in solid propulsion systems are based on control by self-organization of the micro-and nano- scale oscillatory networks and self-organized patterns formation in the reactionary zones with use of the system of acoustic and electro-magnetic fields, generated by special kind of the electric discharges along with resonance laser radiation. The electric discharges also are capable for excitation of the wave patterns in the reactionary zones. Application of special kind of the electric discharges demands the minimum expenses of energy and opens prospects for almost inertial-free control by combustion processes. Such method of control can be organized with assistance of the neural network-based system. Neural network-based system allows to process, analyze and use the cymatics information - a set of image, acoustic, electro-magnetic and thermal hologramines that are registered online in the EM reactionary zones. Through online retraining, the neural network-based system can provide precise optimization of the intra-chamber processes and thrust by accommodating of the reactionary zones self-organizing due to flight program and improving operating flexibility. The main advantages of the proposed approach consisted in the natural ability of neural networks in modeling nonlinear dynamics in a fast and simple way and in the possibility to address the process to be modeled as an input-output black box. with little or no mathematical information on the system. The suggested strategy opens new possibilities for enhanced operational capabilities of the next-generation solid propulsion systems.