Abstract
Modeling and Adaptive Hybrid Fuzzy Control of a Nonlinear Rotor System
Highlights
The paper deals with the modeling, simulation and control of a 1 DOF helicopter model
The paper deals with the hierarchical modeling, simulation and model-based investigation of a nonlinear 1 DOF helicopter model, which is the most important building block of complex multi-rotor systems
The goal of the modeling and simulation is to achieve a reliable model of the system, which is required for testing various control loop designs and controller settings and enables to find the proper control strategy
Summary
The paper deals with the modeling, simulation and control of a 1 DOF helicopter model. The goal of the modeling and simulation is to achieve a reliable model of the system, which is required for testing various control loop designs and controller settings and enables to find the proper control strategy. After designing an appropriate PID controller for the rotor control, a more sophisticated adaptive thresholded fuzzy controller will be applied, where the optimization of the control is based on the error phase-space. This phase space approach enables to design an optimal fuzzy controller for the rotor control, and besides, that more strict control-criteria can be met, a more insightful description of the working dynamic fuzzy rule set can be obtained
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