Fuzzy H_∞ robust control for T-S aero-engine systems with network-induced factors under round-robin-like protocol

Communication behavior characterization, signal scheduling and robust control are the main challenges for networked control applications in aero-engine. To address these difficulties, this paper proposes a synthesis and analysis scheme for Takagi–Sugeno (T-S) aero-engine systems subject to scheduling strategies and network-induced factors, in which the multi-node round-robin protocol (MN-RRP) is introduced to coordinate communication resources. Considering the effects of time delay and packet loss, the whole signal transmission model is established to describe the nonlinear characteristics of aero-engine networked systems. Then, a novel H_∞ fuzzy proportional-integral-derivative-like (PID-like) controller is developed to improve the response performance without sacrificing robustness. Sequentially, the stability conditions are derived in terms of the token-dependent Lyapunov function. Moreover, an optimization algorithm is designed to intelligently solve the controller parameters, which allows the user to flexibly adjust performance requirements. The numerical simulations show that the designed synthesis scheme has good robustness to flight envelope changes and incomplete signals, and ensures that the controlled aero-engine system achieves rapid response, disturbance suppression and considerable tracking performance simultaneously.