학술논문

Multiobjective design of a fuzzy controller for a nonlinear missile autopilot
Document Type
Conference
Source
Proceedings. IEEE International Symposium on Computer Aided Control System Design Computer aided control system Computer Aided Control System Design, 2002. Proceedings. 2002 IEEE International Symposium on. :15-20 2002
Subject
Robotics and Control Systems
Computing and Processing
Fuzzy control
Missiles
Control systems
Nonlinear control systems
Nonlinear systems
Stability
Interpolation
Fuzzy logic
Fuzzy systems
Character generation
Language
Abstract
Gain scheduled control is one very useful control technique for linear parameter-varying (LPV) and nonlinear systems. A disadvantage of gain-scheduled control is that it is not easy to design a controller that guarantees the global stability of the closed-loop system over the entire operating range from the theoretical point of view. Another disadvantage is that the interpolation increases in complexity as the number of scheduling parameters increases. As an improvement, this paper presents a gain-scheduling control technique, in which fuzzy logic is used to construct a model representing a quasi-LPV or a nonlinear missile and to perform a control law. The fuzzy inference system is generated using a multiobjective evolutionary algorithm to optimise the performance characteristics of the plant.