Selection and Setting of the Intelligent Fuzzy Regulator based on Simulations of Nonlinear Model of the Helicopter in Hover
نویسندگان
چکیده
Most research on fuzzy regulators has focused on integrating rules in intelligent control systems. In this paper a fuzzy helicopter regulator for a single-rotor helicopter PZL Kania is considered. Unlike other methods that match only the ability of stable flying, our methods match hovering conditions with disturbances. Two simulations were performed to validate our method. In the first simulation, helicopter in fixed hover was evaluated. The second was the simulation validating the robustness of the proposed method by introducing gust. The results for entry and modified model demonstrated the viability of the proposed regulator. 2 D. Król, M. Lower and B. Szlachetko
منابع مشابه
Intelligent Auto pilot Design for a Nonlinear Model of an Autonomous Helicopter by Adaptive Emotional Approach
There is a growing interest in the modeling and control of model helicopters using nonlinear dynamic models and nonlinear control. Application of a new intelligent control approach called Brain Emotional Learning Based Intelligent Controller (BELBIC) to design autopilot for an autonomous helicopter is addressed in this paper. This controller is applied to a nonlinear model of a helicopter. This...
متن کاملHelicopter Rotor Airloads Prediction Using CFD and Flight Test Measurement in Hover Flight
An implicit unsteady upwind solver including a mesh motion approach was applied to simulate a helicopter including body, main rotor and tail rotor in hover flight. The discretization was based on a second order finite volume approach with fluxes given by the Roeand#39;s scheme. Discretization of Geometric Conservation Laws (GCL) was devised in such a way that the three-dimensional flows on arbi...
متن کاملFinite Time Terminal Synergetic Controller for Nonlinear Helicopter Model
In this paper, an almost new control approach called terminal synergetic control which works based on user defined manifold is applied to a nonlinear helicopter model. Stability analysis is convestigated using Lyapunov stability theory. Synergetic controller is applied to this nonlinear fifth-order helicopter model to control height and angle. Simulation results showed that it has faster and sm...
متن کاملCombining fuzzy, PID and regulation control for an autonomous mini-helicopter
This paper reports on the synthesis of different flight controllers for an X-Cell mini-helicopter. They are developed on the basis of the most realistic mathematical model currently available. Two hybrid intelligent control systems, combining computational intelligence methodologies with other control techniques, are investigated. For both systems, Mamdanitype fuzzy controllers determine the se...
متن کاملA TS Fuzzy Model Derived from a Typical Multi-Layer Perceptron
In this paper, we introduce a Takagi-Sugeno (TS) fuzzy model which is derived from a typical Multi-Layer Perceptron Neural Network (MLP NN). At first, it is shown that the considered MLP NN can be interpreted as a variety of TS fuzzy model. It is discussed that the utilized Membership Function (MF) in such TS fuzzy model, despite its flexible structure, has some major restrictions. After modify...
متن کامل