Modellbasierte prädiktive Regelung

Dittmar, Rainer; Pfeiffer, Bernd‐Markus

doi:10.1524/9783486594911

Cited by 24 publications

(7 citation statements)

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“…Special point of interest is the rapid change in airspeed set-point signal depicted in Figure 10(a). Both motivators -elevator as well as thrust lever -are saturated within the simulation time interval t = [6,7]s causing the modelpredictive guidance algorithm to balance between the guidance objectives. Choosing an identity weighting matrix Q within the error function, forces the flight guidance system to priories acceleration commands over flight path angle demands.…”

Section: Iva Unmanned Low-cost Testing Research Aircraftmentioning

confidence: 99%

“…Model-Predictive Control (MPC) in general offers -compared to other advanced control methods -the capability of optimally performing specific flight system tasks, while explicitly taking performance and envelope constraints of the controlled system into account. 6,7 Various researchers contributed to successful aeronautical applications of model-predictive control schemes including satisfactory results of flight tests. 8,9 Benchmark challenges within GARTEUR action groups on robust 10 and fault-tolerant 11 flight control demonstrated the broad field of application of MPC and its competitiveness in comparison to state-of-the-art control algorithms.…”

Section: Introductionmentioning

confidence: 99%

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An Integrated Approach to Predictive Flight Guidance and Envelope Protection

Krings

Thielecke

2012

AIAA Guidance, Navigation, and Control Conference

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This paper deals with an integrated approach to predictive aircraft guidance and envelope protection applied to vertical flight path and airspeed control. The combination of discrete model-predictive control and dynamic trim method features into a constrained optimal guidance enabling envelope protection on a high automation level without limiting the basic systems performance. This approach offers a highly integrated solution optimizing the trade-off between high level flight management needs, low level basic flight control and aircraft performance constraints while maintaining the overall aircraft systems safety. The main topics addressed in this paper include 1) detailed introduction of the basic concept and its elements -discrete model predictive control, dynamic trim method and outer-loop-constraints approach -and 2) implementation and demonstration of the concept for longitudinal guidance in MATLAB R /SIMULINK R . Results obtained from various simulation runs have demonstrated the capability and feasibility of the proposed predictive flight guidance and envelope protection scheme.

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Section: Iva Unmanned Low-cost Testing Research Aircraftmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Integrated Approach to Predictive Flight Guidance and Envelope Protection

Krings

Thielecke

2012

AIAA Guidance, Navigation, and Control Conference

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“…Der Fußbodenaufbau besteht (von außen nach innen) aus einer 20 cm dicken Betonschicht, 9 cm Däm-mung, der Fußbodenheizung, 9 cm Estrich und 0,5 cm [7] oder [8].…”

Section: Regelstrecke (Raummodell)unclassified

Simulation einer prädiktiven Raumtemperaturregelung unter Verwendung einer idealen Wettervorhersage

Görtler

Beigelböck

2010

Bauphysik

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Simulation of a model predictive room temperature control by use of an ideal weather forecast. Due to the use of MPC (Model Predictive Control) for room heating applications users and constructors expect nameable energy savings. By usage of a simulation for a special case the energy saving potential of predictive control algorithm for room temperature control in connection with an ideal weather forecast, in comparison to established algorithms (PI-control, two level controller) is estimated. The controlled system with the control variable room temperature is a room with floor heating which was modelled in TRNSYS. A linear state space model of the controlled system was derived with suitable identification methods. This model was used by the predictive control algorithm, which was programmed in MATLAB. The weather data was taken from the TRNSYS library and has been made available also for the control algorithm, so that an ideal weather forecast was established. For the example considered in this paper, the amount of energy saving was 10 % per year with the MPC-controller compared to a PI-controller.

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“…MPC is widely adopted in industries, primarily in chemical engineering processes. This control principle is an established method to deal with large constrained multivariable control problems (Dittmar 2004, Grimble 2001, Maciejowsky 2002, Salgado et al 2001. The main idea of MPC is to precalculate the control action by repeatedly solving of an optimization problem (see figure 6).…”

Section: Approachmentioning

confidence: 99%

Advanced Torque Control

Fritzsche¹,

Deunow²

2008

New Approaches in Automation and Robotics

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Combustion and control variables: In figure 1 the four cycles of a gasoline engine are shown in a pressure/volume diagram. The mean engine torque results from the difference energy explained by the two closed areas in the figure. The large area describes the relation of pressure and volume during compression and combustion. The charge cycle is represented by the smaller area. For good efficiency the upper area should be as large as possible and the area below should be minimal (for a given gas quantity). The best possible efficiency in theory is represented by the constant-volume cycle (or Otto cycle) (

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Modellbasierte prädiktive Regelung

Cited by 24 publications

References 0 publications

An Integrated Approach to Predictive Flight Guidance and Envelope Protection

An Integrated Approach to Predictive Flight Guidance and Envelope Protection

Simulation einer prädiktiven Raumtemperaturregelung unter Verwendung einer idealen Wettervorhersage

Advanced Torque Control

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