Intelligent scheduler design for networked control systems of guided weapon

In this paper, a frame of guided weapon with network has been proposed, the pitching loop, yawing loop and rolling loop share the network resource by time-division. To maximum the overall performance of the three control loops, an intelligent feedback scheduler is designed to allocate available network resource dynamically according to the limited network bandwidth and variable workload. The scheduler includes a dynamic feedback scheduling module for sampling period adjustment and a fuzzy logic feedback scheduling module for priority modification. In the section of sampling period adjust, the bounds of sampling period are figured out by validating the feasible solution of a set of linear matrix inequalities (LMIs). In the end of the paper, the simulation of the guided weapon networked control system is given to illustrate the validity of the designed method under both underloaded and overloaded network condition.