Research On The Robust Control Method Of Distributed Time Delay System For Aero-Engine

The development of aero-engine distributed control brings both advantages and new challenges. The induced network time-delay is one of new problems and attracting researchers' interests. In this dissertation, the development of a robust control for an aircraft turbofan distributed control system is described.The small perturbation method was employed to fit the state variable model(SVM) to the nonlinear component model. The SVM is highly consistent with the nonlinear model and can be the controlled plant for controller design.The aero-engine distributed control system is a kind of network control system(NCS). Three assumptions were imposed on the NCS, and a dual-time-delay SVM(DTD-SVM) for NCS was built. For DTD-SVM, the delay-dependent stable theorem was provided by adopting dual-integral Lyapunov-Krosovskii functional, inequation zoom and free-weight matrix.The modeling error is established as an uncertainty in the SVM. For the uncertain DTD-SVM, three state-feedback controllers were designed respecting to different performance requirement and system characters. The optimal guaranteed cost controlled balanced the closed-loop system in system dynamic performance and input cost. The continuous and the discrete controllers ensured the stability of the controlled system, and resisted disturbance effect on the system output as well. The multi-performance controller guaranteed the system had a desired dynamic performance, input cost and performance in its different operation stages.The integral of tracking error was augmented into DTD-SVM. Considering the augmented model, the multi-performance tracking controller design converts to the state-feedback controller design mentioned above. The tracking controller was applied to an aircraft turbofan. The computer simulation results show that the outputs of closed-loop system has no overshoot, no static error, and converge in less than 2s as well.