A most critical and important issue surrounding the design of automatic control systems with the successively increasing complexity is guaranteeing a high system performance over a wide operating range and meeting the requirements on system reliability and dependability. As one of the key technologies for the problem solutions, advanced fault detection and identification (FDI) technology is receiving considerable attention. The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers.

Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools

In this paper, the iterative learning control (ILC) literature published between 1998 and 2004 is categorized and discussed, extending the earlier reviews presented by two of the authors. The papers includes a general introduction to ILC and a technical description of the methodology. The selected results are reviewed, and the ILC literature is categorized into subcategories within the broader division of application-focused and theory-focused results.

Iterative Learning Control: Brief Survey and Categorization

An attempt is made in This work to present critical literature review and an up-to-date and exhaustive bibliography on the AGC of power systems. Various control aspects concerning the AGC problem have been highlighted. AGC schemes based on parameters, such as linear and nonlinear power system models, classical and optimal control, and centralized, decentralized, and multilevel control, are discussed. AGC strategies based on digital, self-tuning control, adaptive, VSS systems, and intelligent/soft computing control have been included. Finally, the investigations on AGC systems incorporating BES/SMES, wind turbines, FACTS devices, and PV systems have also been discussed.

Recent philosophies of automatic generation control strategies in power systems

http://www.derongliu.org/adp/adp-cdrom/VrabieAutomatica2009.pdf

Brief paper: Adaptive optimal control for continuous-time linear systems based on policy iteration

This paper considers the problem of robust H/sup /spl infin// filtering for uncertain Markovian jump linear systems with time-delays which are time-varying and depend on the system mode. The parameter uncertainties are time-varying norm-bounded. The aim of this problem is to design a Markovian jump linear filter that ensures robust exponential mean-square stability of the filtering error system and a prescribed L/sub 2/- induced gain from the noise signals to the estimation error, for all admissible uncertainties. A sufficient condition for the solvability of this problem is obtained. The desired filter can be constructed by solving a set of linear matrix inequalities. An illustrative numerical example is provided to demonstrate the effectiveness of the proposed approach.

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Robust H/sup /spl infin// filtering for uncertain Markovian jump systems with mode-dependent time delays

Robust control of a class of uncertain nonlinear systems

A robust controller, based on the Riccati-equation approach, is proposed for power system load-frequency control. Only the bounds of the system parameters are required to design the robust load-frequency controller. The proposed robust controller is simple, effective and can ensure that the overall system is asymptotically stable for all admissable uncertainties. Simulation results show that, for the example system, the proposed robust load-frequency controller can achieve good performance even in the presence of generation rate constraint.

Robust load-frequency controller design for power systems

In this paper, a new robust linear decentralized controller is proposed to enhance the transient stability of nonlinear multimachine power systems. Only local measurements are required in the proposed controller. The feedback gain of each generator is obtained by solving an algebraic Riccati equation based on the bounds of the machine parameters. The stability analysis shows that the decentralized controller can guarantee the system stability over the whole operating region and regardless of fault locations or parameter uncertainties of the transmission network. Compared with nonlinear controllers, linear controllers are of simpler structure and easier to be implemented. A three-machine power system is considered as an application example. Simulation results show that despite the interconnections between different generators, nonlinearities in the system, different operating points, and different fault locations, the proposed robust decentralized controller can greatly enhance power system transient stability.

Youyi Wang

Papers

Robust control of a class of uncertain nonlinear systems

Robust load-frequency controller design for power systems

Robust decentralized control for multimachine power systems

H ∞ filtering for a class of uncertain nonlinear systems

Robust nonlinear coordinated control of power systems