Robust Takagi-Sugeno fuzzy control for a mini aviation engine

A nonlinear speed controller is designed using a fuzzy control strategy based on a Takagi-Sugeno (TS) modelling and robust control approach for a mini unmanned helicopter 2-cylinder, two-stroke, electronic fuel injection engine. A physical nonlinear model of the engine is presented and transformed into an uncertain fuzzy TS model to address the nonlinear system characteristics. Then, a robust nonlinear fuzzy control algorithm is developed via Linear Matrix Inequality (LMI), which can provide reference speed tracking despite the presence of torque load disturbances and operating condition changes. The simulations show that the proposed controller can meet the performance requirements for the unmanned helicopter engine use, namely tracking performance, disturbance rejection and robustness.