Parametric Optimization of Augmented Proportional Navigation Law Considering Performance and Maneuvering Capabilities

The aerial vehicle performance capabilities are usually ignored during the guidance laws design. This may result in saturation of commands and undesirable behavior of integrated guidance and control system. In the current research, based on the Augmented Proportional Navigation (APN) law and considering the performance and maneuvering capabilities of a flying vehicle through different flight conditions, the parameters of APN are optimized. In contrast with the conventional APN, in the proposed guidance law, the guidance parameters are not fixed but are functions of environmental conditions and engagement scenarios. In this regard, utilizing different flight conditions and engagement scenarios, a multi-objective optimization problem is formed. The performance and maneuvering capabilities are considered as the optimization constraints. Multi-objective problem includes three objectives of miss distance, acceleration command and flight time. The NSGA-II algorithm is utilized here. The limits of the acceleration commands are not fixed and vary depending on the flight conditions. The simulation of several scenarios, reveals a superior behavior for the proposed guidance law in comparison with the conventional laws.