Optimization and mechanical simulation of a pursuit-evader scenario using genetic algorithm and stewart platform

Improve the performance of the guidance process of topics that have attracted the attention of researchers in the past decades. One way in which the implementation of this improvement is to modify the guidance law. Where is replaced a fixed gain with a variable gain and employing the genetic algorithm to measure the performance of several forms of variable gain even get the minimum miss distance. This method has proved its efficiency and best results to achieve an interception between the pursuit and the evader with less error despite the change of range and direction and maneuver, and even in the case of a delayed line-of-sight rate. Also in this paper, a mechanical simulator, called Stewart platform, has been added to the pursuit-evader model. The microcontroller of the platform receives a serial data from the navigation system. The received data are converted into voltages and sent to the motors of Stewart platform to simulate proportional movements in six-degrees-of-freedom.