Design of an Intelligent Controller for a Model Helicopter Using Neuro-Predictive Method with Fuzzy Compensation.

In this paper, a Neuro-Predictive (NP) controller is designed and implemented on a highly no-linear system, a model helicopter in a constrained situation. It is observed that the closed loop system with the NP controller has a significant overshoot and a long setting time in comparison to the same system with an existing fuzzy controller. In order to improve the undesired system performance, s Sugeno-type fuzzy compensator, having only two rules, is added to the control loop to adjust control input. The newly designed Neuro-Predictive control with Fuzzy Compensator (NPFC) improves the system performance in both overshoot and settling time. Furthermore, it is shown that the NPFC controlled system is robust to disturbance and parameter changes. [ABSTRACT FROM AUTHOR]