Computer-Aided Design of Intelligent Control System of Stabilizing Platforms With Airborne Instrumentation

Abstract

The chapter includes principles of the computer-aided design of the intelligent control system for stabilizing platform with airborne instrumentation. The emphasis is given to the design of the robust controller. The design procedures including mathematical models development, simulation, analysis, and making a decision using such artificial intelligent approaches as soft computing and expert assessments of obtained results are considered. Two basic problems such as the design of new systems and modernization of operating systems are researched. The first problem can be solved by means of the robust parametric optimization, and the second by means of the robust structural synthesis. The basics of algorithmic, software, and method supports are represented. The generalized structural schemes of the interactive design process are given. This approach allows decreasing engineering time and improving the quality of design systems.

Key Terms in this Chapter

Robust System: An automated system is called robust if it keeps stability and performance indices in some permissible range in conditions of disturbances influence without using adaptation methods. Stabilization System : A system, which keeps constant value of a controlled quantity under influence of changed disturbances, is called stabilization system.

Inertially Stabilized Platform: Electromechanical configurations providing stabilization of a payload in the inertial space.

Genetic Algorithm: Heuristic algorithm of search for solving optimization problem by means of random variations of parameters using approaches similar to natural selection.

System of Computer-aided Design: Automated system realized information technologies of implementation of design functions.

Unmanned Aerial Vehicle: Aircraft without crew on the board is called an unmanned aerial vehicle.