Multi-Parameter Quadratic Programming Explicit Model Predictive Based Real Time Turboshaft Engine Control

The traditional model predictive control (tMPC) algorithms have a large amount of online calculation, which makes it difficult to apply them directly turboshaft engine–rotor systems because real time requirements. Therefore, based on the theory perturbed piecewise affine system (PWA) and multi-parameter quadratic programming explicit (mpQP-eMPC) algorithm, we develop controller design method for systems, can be used engine steady-state, transient state limit protection control. This consists two steps: offline implementation. Firstly, parameter space PWA is divided into several partitions disturbance performance constraints. Each partition has its own law, in form linear function between parameters. laws those are also obtained this step. After which, implementation step, corresponding law by real-time query partition, current falls into. greatly reduces calculation thus improves MPC controller. effectiveness proposed verified simulating steady-state process with requirement. Compared tMPC, an mpQP-eMPC not only guarantee good dynamic protection, but significantly improve system.