Robust H∞ fuzzy control for a mini aviation engine speed regulation

Classical gain scheduling speed regulation method provides no guarantees for closed-loop system stability or performances for the full operating range of an engine due to the existence of nonlinear behavior, multiple operating conditions etc. In this work, a systematic fuzzy gain scheduling method is applied on speed control for a two-stroke, electronic fuel injection engine based on the Takagi-Sugeno (T-S) fuzzy system. A physical nonlinear model of the engine is presented and transformed into a fuzzy T-S model formulation. Based on the T-S model, the stabilization problem of the engine speed is studied, and a sufficient condition for the existence of controller with H_infin attenuation and the design techniques are presented. The proposed control design is validated using both nonlinear off-line simulations and real-time hardware-in-the-loop (HIL) implementation. The results show that the proposed T-S fuzzy controller can meet the performance requirements for the unmanned helicopter engine use, namely racking performance, disturbance rejection and robustness.