This paper presents a path planner for multiple unmanned aerial vehicles (UAVs) based on evolutionary algorithms (EAs) for realistic scenarios. The paths returned by the algorithm fulfill and optimize multiple criteria that 1) are calculated based on the properties of real UAVs, terrains, radars, and missiles and 2) are structured in different levels of priority according to the selected mission. The paths of all the UAVs are obtained with the multiple coordinated agents coevolution EA (MCACEA), which is a general framework that uses an EA per agent (i.e., UAV) that share their optimal solutions to coordinate the evolutions of the EAs populations using cooperation objectives. This planner works offline and online by means of recalculating parts of the original path to avoid unexpected risks while the UAV is flying. Its search space and computation time have been reduced using some special operators in the EAs. The successful results of the paths obtained in multiple scenarios, which are statistically analyzed in the paper, and tested against a simulator that incorporates complex models of the UAVs, radars, and missiles, make us believe that this planner could be used for real-flight missions.

This paper presents a new methodology to develop remote laboratories for systems engineering and automation control courses, based on the combined use of TwinCAT, a laboratory Java server application, and Easy Java Simulations (EJS). The TwinCAT system is used to close the control loop for the selected plants by means of programmable logic controllers (PLCs) deployed in PCs with the TwinCAT run-time tool. EJS is used to develop the laboratory front-end applets that let teachers and students parametrize and observe the behavior of the PLCs from any computer. The laboratory Java server application establishes the connection between the EJS applets and the PLCs, fulfilling the TwinCAT connection requirements while ensuring an individualized access to each PLC. This paper also shows how the practical work in some undergraduate control courses at the Complutense University of Madrid, Spain, already uses the TwinCAT PLC + Java server + EJS applet strategy to provide real-time support to the controllers, remote individualized access to the experiments, and a user-friendly graphic controller interface for the students.