Feedback Stabilization Control to High Order and Unstable System with Dead Time

The existing methods improved for the unstable objectives with dead time include Smith predictor, PID, IMC and others. There is little issue to deal with stabilization control of high order and unstable system with dead time. We employ the method of twice optimization control (TOC) for the unstable system with dead time. The factor e expands as a linear expression at first step. The controlled objective is transformed to an open-loop linear transfer function without static displacement error by a linear feedback loop. The control parameters of the linear system are solved by the optimal control method. The control structure keeps the factor e for regulating the parameter again and forming a control model for the system optimization at second step. The internal feedback loop with multi-level is utilized to shift those poles in half-right plane to the symmetrical poles in half-left plane. The internal stable feedback loop is merged to the external loop for the system optimization. The final structure is simple and intuitionistic for controlling a high order and unstable system with dead time. The presented method is generality and realizes the stable control of the high order and unstable system with dead time. The experiments illustrate this method is good performance and is equality to control the high order and stable system with dead time.