Linear Quadratic Pole Placement Research Articles

Damping of Generator Oscillations Using an Adaptive UPFC-based Controller

In this study a UPFC-based non-linear adaptive controller is proposed and designed to damp generator oscillations. The adaptive controller design is based on determination of control signal using a new linear quadratic pole placement control law and identification of power system parameters with recursive least squares method with adaptive directional forgetting factor. A new model of UPFC has been introduced too. The simulation results show that the adaptive controller can damp power oscillation more effective than the conventional PID controller and it is not sensitive to the loading conditions and the changes in power system topology.

SIMULTANEOUS LINEAR QUADRATIC POLE PLACEMENT (LQPP) CONTROL DESIGN

The pole placement (PP) technique for design of a linear state feedback control system requires specification of all the closed-loop pole locations even though only a few poles dominate the system's transient response characteristics. The linear quadratic regulator (LQR) method, on the other hand, optimizes the system transient response and does not directly impose the location of the dominant poles. This paper presents a new optimal linear quadratic pole placement (LQPP) technique that simultaneously assigns some poles to exact desired dominant locations (partial pole placement) and adjusts the rest of the poles to optimize an LQ performance index (parametric optimization). As a result, a designer can fashion his control design to benefit from the PP and LQ techniques. The paper only addresses the LQPP technique for a single-input full-state feedback control system.