Propulsion control of a solid fuel ramjet using a robust adaptive neural controller

Modeling and control of a solid fuel ramjet in varying flight conditions is discussed in this paper. A set of nonlinear differential equations are derived to describe internal ballistics of the motor. Due to the complexity of the flow in SFRJ motor, some modeling parameters can not be exactly determined so some uncertainties are available in internal ballistics modeling of the SFRJ motor. A Robust control technique is developed for this system. The proposed controller is a robust adaptive control based on the concept of sliding mode control using auto-tuning neurons. The controller is applied to the system and its performance is shown through simulations