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One of the main difficulties in large-scale implementation of renewable energy in existing power systems is that the production from renewable sources is difficult to predict and control. For this reason, fast and efficient control of controllable power producing units – so-called “portfolio control” – becomes increasingly important as the ratio of renewable energy in a power system grows. As a consequence,...
This paper focuses on how fault tolerant controllers can be designed based on discrete game abstractions of piecewise-affine hybrid systems (PAHS). The proposed method aims at automatic generation of the controllers by converting the discrete games to timed games, which can be solved by the UppAal toolbox. Winning strategies to the games are then refined to piecewise-affine control strategies which...
Knowledge of moisture content in raw coal feed to a power plant coal mill is of importance for efficient operation of the mill. The moisture is commonly measured approximately once a day using offline chemical analysis methods; however, it would be advantageous for the dynamic operation of the plant if an on-line estimate were available. In this paper we such propose an on-line estimator (an extended...
The focus of this paper is on the generation of controllers for fault tolerant control. Active off-line fault tolerant control design relies on a pool of controllers designed to handle different failure modes. Designing this pool of controllers remains a challenge and this paper hence investigates automatic control synthesis for a specific class of systems by abstracting the control problem to a set...
This paper presents a novel approach to modeling of a brush-less direct current motor (BLDCM) driven by an inverter using hybrid systems theory. Hybrid systems combine continuous and discrete (event-based) dynamics, which is exactly the case in an inverter-driven BLDCM. The model presented in this work consists of a general automaton with discrete states, combined with a set of continuous dynamic...
This paper presents a method for continuous gain scheduling of observer-based controllers with integral action. Given two stabilising controllers for a given system, explicit state space formulae are presented, allowing to change gradually from one controller to the other while preserving stability. As opposed to previous results, the method allows for non-square systems
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