Integrated guidance and control of the Pitch channel in a homing missile using optimal linear and nonlinear model predictive control
This article describes the process of designing and simulating the performance of the predictive controller of the optimal model, which was created in order to guide the missile in a two-dimensional problem of minimizing the collision time and the distance from the target. In the design of the optimal model predictive controller, first the widely used type of implicit linear predictive model is designed and then the nonlinear predictive model is presented and their performance in missile guidance is evaluated. According to the simulations, it can be shown that the predictive controller of the implicit linear model (on-line) and the predictive controller of the optimal non-linear model control the distance of the missile's final collision with the target and the collision time well. The innovation of this article is the design of the predictive controller of the optimal model using genetic algorithm and particle community in the integrated guidance and control model.
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Air target tracking by homing missile using deep learning and fuzzy adaptive control
Mohamad Mahdi Soori, Seyed Hosein Sadati *
Journal of Technology in Aerospace Engineering, -
Guidance and control of a two-dimensional model of an air defense missile using deep learning and fuzzy adaptive control
Mohammadmahdi Soori, *
Aerospace Science and Technology Journal, Spring-Summer 2024