학술논문

Fuzzy union reasoning based fuzzy sliding mode controller design
Document Type
Conference
Source
2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies Industrial electronics Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE. 1:566-571 vol.1 2000
Subject
Power, Energy and Industry Applications
Computing and Processing
Components, Circuits, Devices and Systems
Robotics and Control Systems
Signal Processing and Analysis
Fuzzy control
Fuzzy reasoning
Sliding mode control
Fuzzy systems
Genetic algorithms
Fuzzy sets
Process design
Control systems
Robust control
Robust stability
Language
Abstract
In this paper, a fuzzy union reasoning based fuzzy sliding mode controller (FUR-FSMC) is proposed. In the process of designing the FUR-FSMC, we firstly employ the sliding mode control technique to design the fuzzy control rules, so that we can design fuzzy controller by systematic procedures. Next, we adopt the fuzzy union reasoning to construct the fuzzy control rules and to obtain the FUR-FSMC. This structure can efficiently reduce the number of rules in the rule base. Finally, we apply the genetic algorithm (GA) to search the optimal parameters for the FUR-FSMC. The computer simulations of an inverted pendulum control system are used to demonstrate the performance of the proposed FUR-FSMC.