Performance evaluation of certain proportional navigation guidance schemes

Abstract

Proportional navigation guidance (PNG) is a class of methods used in guiding an interceptor to navigate and intercept a given moving target in an environment. In this paper, a comparative study is made on certain well-known and recently proposed proportional navigation guidance laws for intercepting high maneuvering targets. Performance of Augmented Ideal PNG, modified Augmented Ideal PNG and Angular Acceleration Guidance schemes are evaluated in an environment having non-holonomic wheeled mobile robots as interceptor and target. It is assumed that the trajectory and maneuvering capability of the target is unknown to the interceptor. Performance of methods based on different PNG laws are analyzed in terms of interception time and distance travelled. Simulation results show that AAG is the best among the three methods. However, it requires an accurate estimation of the acceleration of the target, which increases the time-complexity of the method.