Span of control

Modellen, meten, regelen, terugkoppeling en optimaliseren zijn algemeen gebruikte begrippen. Zij hebben in het vakgebied ‘regelen’ een precieze wiskundige betekenis gekregen. Daardoor zijn krachtige en relevante inzichten ontstaan en hulpmiddelen beschikbaar gekomen om veel technische processen te optimaliseren. In zijn rede wordt gereflecteerd op de rol van modellen en regelen in de techniek en in de industrie. Een belangrijke overweging hierbij vormt de ‘Span of Control’. Er is een bovengrens aan wat een model redelijkerwijs kan uitdrukken of wat een regeling of een bestuur kan bereiken. Dankzij het generieke karakter van deze begrippen zullen ze worden geïllustreerd met technische en niet-technische voorbeelden, zoals de organisatie van een universiteit

Identification and parameter-varying decoupling of a 3-DOF platform with manipulator

The paper describes identification and a new parameter-varying decoupling method for a 3-degree-of-freedom (DOF) platform with a manipulator on top of it, which is magnetically levitated by 9 voice-coil actuators. The identification has been performed in closed-loop using two different indirect approaches. In the first approach time-domain data of the system were processed using Ho-Kalman algorithm. The second approach was based on frequency-response measurements. The 3 DOFs of the platform are coupled and the coupling is even varying as the manipulator on top is moving. In order to design separate SISO controllers for each DOF of the platform, a new decoupling method has been developed which uses frequency response measurements of the system obtained for different positions of the manipulator

General framework for real-time implementation of balancing services market outcome

Load frequency control (LFC) is widely used for real-time balancing connected power systems. With the deregulation of power system markets, there is a necessity for adapting the current LFC to support market-based operation. In this paper we propose a general balancing tool which covers both, regulated, and deregulated load frequency control. The proposed approach enables implementation of conventional, two-sided markets possible as well as implementation of the integrated markets for balancing reserves, i.e. cooperation in provision of reserves among different control area

Optimal decentralized Kalman filter

The Kalman filter is a powerful state estimation algorithm which incorporates noise models, process model and measurements to obtain an accurate estimate of the states of a process. Implementation of conventional Kalman filter algorithm requires a central processor that harvests measurements from all the sensors in the field. Central algorithms have some drawbacks such as reliability, robustness and high computation which result in a need for non-central algorithms. This study takes optimality in decentralized Kalman filter (DKF) as its focus and derives the optimal decentralized Kalman filter (ODKF) algorithm, in case the network topology is provided to every node in the network, by introducing global Kalman equations. ODKF sets a lower bound of estimation error in least squares sense for DKF

Distributed, price-based control approach to market-based operation of future power systems

In this paper we present, discuss and illustrate on examples the price-based control paradigm as a suitable approach to solve some of the challenging problems facing future, market-based power systems. It is illustrated how global objectives and constraints are optimally translated into time-varying prices. The real-time varying price signals are guaranteed to adequately reflect the state of the physical system and present the signals that optimally shape, coordinate and synchronize local, profit driven behaviors of producers/consumers to mutually reinforce and guarantee global objectives and constraints. As an illustrative example, the real-time price-based power balance control with congestion management is presented

Optimal spatial allocation of ancillary services for power systems

Abstract onl

Improved convergence of MRAC design for printing system

This paper deals with the improved design of stable model reference adaptive systems, by introducing a nonlinear adaptation gain. Uniform asymptotic stability of the system is demonstrated for both state and output feedback cases. A simulation example shows the effectiveness of the proposed approach when large parameter variations and disturbances are active. It is also being applied to control a real printing system