Explicit Model Predictive Control for Enhanced Flight Vehicle Guidance and Control

This paper presents an innovative approach for designing and implementing an explicit linear model predictive controller (MPC) within the integrated guidance and control (IGC) framework. The IGC system significantly enhances the overall performance of flying vehicles by leveraging the synergy between the guidance and control subsystems. In the context of air defense missile systems, where speed is essential for intercepting fast-moving targets, the proposed method is specifically designed for three-dimensional scenarios to minimize collision time and miss distance. The key innovation of this work lies in the explicit MPC approach, where the optimization problem is solved offline for all possible state vector values. The control commands are formulated as explicit functions of the state variables and stored for real-time evaluation. This method eliminates the need for computationally expensive online optimizations, substantially reducing the computational load and making it suitable for hardware with limited processing capacity. Simulation results demonstrate that the proposed explicit MPC outperforms traditional PID and LQR controllers, showing significant improvements in both miss distance and collision time. These findings highlight the practical effectiveness of explicit MPC in enhancing the precision, speed, and efficiency of guidance and control for advanced flying vehicles, especially in air defense missile systems.

کلیدواژه ها:

flying vehicle ، target ، integrated guidance and control ، model predictive control ، optimization