<p>To solve the problem that unmanned aerial vehicles are difficult to deal with the background interference of changing categories in real time in a dynamic and complex environment and to improve the discipline of multi-unmanned aerial vehicles cooperation, the study designed a cruise tracking system combining unmanned aerial vehicles fuzzy control and target tracking algorithm to solve the target tracking and related control problems of unmanned aerial vehicles. The system was divided into two parts. For the unmanned aerial vehicle target tracking, the research used Type II fuzzy logic control theory to design a system with three modules: information sensing, target detection tracking, and unmanned aerial vehicle tracking fuzzy control. In terms of the target identification and tracking algorithm, when the target scale changed, the algorithm had greater adaptation and tracking accuracy, and the average accuracy was improved by 3.3%. In summary, by optimizing the target tracking algorithm and employing a Type II fuzzy logic control, the unmanned aerial vehicle task assignment and channel security spectrum resource allocation scheme based on bipartite graph can be obtained. Moreover, the scheme could successfully solve the unmanned aerial vehicle target tracking and channel security problems. The testing results indicated the effectiveness and benefits of the scheme. The technique can give accuracy and security for the execution of unmanned aerial vehicle missions.</p>