This paper proposes a new design method of a PID controller. We design the PID controller based on generalized minimum variance control (GMVC) with a steady state predictive output (GMVCS). The proposed method has better approximation than conventional design schemes since the orders of compensators of a GMVCS law do not increase even if a dead-time increases. Furthermore, in this paper it is s...

In this paper, an approach to design an Admissible Model Matching (AMM) Fault Tolerant Control (FTC) based on Linear Parameter Varying (LPV) fault representation is proposed. The main contribution of this approach is to consider the fault as a scheduling variable that allows the controller reconfiguration online. The fault is expressed as a change in the system dynamics (in particular, in the m...

Power generation using wind turbines is a highly researched control field. Many control designs have been proposed based on continuous-time models like PI-control, or state observers with state feedback but without special regard to robustness to model uncertainties. The aim of this thesis was to design a robust digital controller for a wind turbine. The design was based on a discrete-time mode...

In this paper, a systematical controller design method for a two-stage grid-connected photovoltaic power conditioning system (PCS) is proposed. For a pre-stage boost converter to achieve the stable operation in the entire region of solar arrays (SAs), the digital resistive current (DRC) mode controller is proposed. This algorithm is very simple to implement with a digital controller and there i...

We demonstate stabilization of a computational ‡uid dynamics model of an unstable system. The unstable heating of a two-dimensional plate is used as a case study. Active control is introduced by cooling parts of the boundaries of the plate. The high order of the original model is reduced by proper orthogonal decomposition, giving an unstable reduced order model with a state space structure conv...

In this paper, a new and novel mathematical fuzzy hybrid scheme is proposed for the stabilization of a tri-rotor unmanned aerial vehicle (UAV). The fuzzy hybrid scheme consists of a fuzzy logic controller, regulation pole-placement tracking (RST) controller with model reference adaptive control (MRAC), in which adaptive gains of the RST controller are being fine-tuned by a fuzzy logic controlle...

The main advantage of pole placement technique is that it places all the poles at desired location using state feedback gain matrix. Using feedback, the poles of the system can be shifted so we can shape the closed loop characteristics of system to meet the design requirement. Even though pole placement method can give the desired characteristic but it does not guarantee a robust system. So con...

Pole placement is a well-established design method for linear control systems. Note however that with an output feedback controller of low-order such as PID one cannot achieve arbitrary pole placement for a high-order or delay system, and then partially or hopefully, dominant pole placement becomes the only choice. To the best of the authors’ knowledge, no method is available in the literature ...

The paper proposes a paradigm for control design suitable for poorly modeled plants with signi cant dead time An adaptive dead time compensator is developed which is substantially dif ferent to the standard Smith predictor and more generally applicable in practice A framework is developed for selecting the controller parameters using now stan dard design techniques such as synthesis It is argue...

Stable operation of axial and centrifugal compressors is limited towards low mass 1ows due to the occurrence of surge. The stable operating region can be enlarged by active control. In this study, we use a control valve which is fully closed in the desired operating point and only opens to stabilize the system around this point. As a result, only nonnegative control values are allowed, which co...