This paper presents the design of two separate continually online trained (COT) neurocontrollers for excitation and turbine control of a turbogenerator connected to the infinite bus through a transmission line. These neurocontrollers augment/replace the conventional automatic voltage regulator and the turbine governor of a generator. A third COT artificial neural network is used to identify the...

This paper presents two realizations a 2-DOF PI fuzzy gain-scheduling controller for widerange speed control of combustion turbogenerators. The 2-DOF scheme allows independent tuning of the reference tracking and the disturbance rejection characteristics for the controlled system. Then, the fuzzy approach extends these characteristics all over the operating space of the combustion turbogenerato...

Research has shown that conventional adaptive control and more sophisticated nonlinear approaches can suffer from a lack of robustness and transparency. In this paper, a multiple model technique is proposed that effectively incorporates established linear control methods within an inherently nonlinear framework. The resulting local model network (LMN) was found to describe the nonlinear dynamic...

The article considers the multimodal nonlinear static method as a seismic resistance estimation of existing turbogenerator foundation structures. object research is on Tom-Usinsk State District Power Station. proposes modified algorithm for characteristic point search by method. According to calculations results, structures after partial equipment replacement and construction site increased sei...

<div class="section abstract"><div class="htmlview paragraph">GTDI engines are becoming more efficient, whether individually or part of a HEV (Hybrid Electric Vehicle) powertrain. For the latter, this efficiency manifests itself as increase in zero emissions vehicle mileage. An ideal device for energy recovery is turbogenerator (TG), and, when placed downstream conventional turbine,...

Nonlinear non-stationary large scale (NNLS) systems such as power system networks, telecommunication networks, financial and transportation systems are difficult to control and manage. Mathematical models of such systems are typically derived based on linear techniques, and wide margins of safety are allowed in order to ensure stable operation. In the era of a deregulated electricity industry, ...