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Robust fuel consumption estimation for on-line optimization of diesel engines

IFAC-PapersOnLine 2018年第31期51卷 233-239页

作者： Kupper, Frank Forrai, Alexandru Indrajuana, Armando Weijst, Robert van der Keulen, Thijs van Willems, Frank TNO Automotive Helmond Netherlands Eindhoven University of Technology Department of Mechanical Engineering Eindhoven Netherlands

Accurate estimation of Brake Specific Fuel Consumption (BSFC) is required to enable on-line optimization of real-world fuel efficiency of diesel engines. This work aims to develop a BSFC estimation method which is accurate enough for an adaptive controller for on-line engine optimization, e.g., using Extremum Seeking. In this paper two different BSFC estimation methods are evaluated: A heat-release based method using in-cylinder pressure sensors and an approach based on injector opening time. Analysis of the two approaches shows that the injector opening time approach yields the highest accuracy. This method together with an adaptive controller is validated experimentally on a Euro-VI diesel engine. Experimental results show that the BSFC estimation is robust against variations in combustion phasing and scavenging losses. The estimated location, in terms of combustion phasing and scavenging losses, of the BSFC minimum remains within 0.1% relative error with respect to the measured BSFC minimum. © 2018

关键词： Diesel engines Adaptive control systems Combustion Control theory Fuel consumption Fuels models Accurate estimation Adaptive controllers Brake specific fuel consumption Combustion control Engine optimization In cylinder pressures model parameter identifications Online optimization

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Marine Vehicles with Streamers for Geotechnical Surveys: modeling, Positioning, and Control

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IFAC-PapersOnLine 2016年第23期49卷 458-464页

作者： Abreu, Pedro Morishita, Hélio Pascoal, António Ribeiro, Jorge Silva, Henrique ISR/IST Univ. Lisbon Portugal Department of Naval Architecture and Ocean Engineering University of São Paulo Brazil

In the classical set-up adopted for marine geotechnical surveys, one or more acoustic sources carried by a vessel emit signals that penetrate the seafioor, reflect or refract off geological features, and travel back to multiple acoustic receivers, or hydrophones, placed along cables (streamers) towed by the same vessel. Processing the data obtained by the hydrophones yields information about the physical properties of the Earth's crust. In this set-up, the acoustic sources and receivers are coupled and the geometry of the latter is fixed. The EC WiMUST project aims to contribute to the development of a new breed of reflection seismology systems whereby the source and the receivers are physically decoupled and free to change their spatial configurations. The project puts forward a novel concept where shorter streamers are towed by autonomous marine vehicles (AMVs) that are required to maintain a possibly time-varying formation. The paper describes the first steps taken by 1ST, in cooperation with project partners, towards the development of the networked navigation and control systems of the WiMUST vehicles. We first address the problem of modeling a coupled streamer-vehicle system and propose a solution based on Kane's method to obtain a dynamic simulation model. A brief description of the on-going work on model parameter identification is given. We then focus on the cooperative navigation problem and propose a simplified version of a nonlinear least squares approach previously described in the literature. Finally, we address the problem of cooperative control of a fleet of streamer-vehicle systems. We give an overview of cooperative path-following and target/trajectory tracking techniques and discuss possible adaptations to align them with the technical requirements imposed by the WiMUST concept. Preliminary simulation and experimental results are shown. © 2016

关键词： Networked control systems Air navigation Data handling Fleet operations Hydrophones Seismology Structural geology Surveys Vehicles Autonomous marine vehicles Cooperative navigations Geotechnical Marine vehicles model parameter identifications Non linear least squares Reflection seismology Time varying formations

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An explicit optimal input design for first order systems identification

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IFAC-PapersOnLine 2015年第28期48卷 344-349页

作者： Dufour, Pascal Nadri, Madiha Qian, Jun Université de Lyon LyonF-69622 France Company Acsystème 4 rue René Dumont Rennes35000 France

This paper focuses on the problem of closed loop online identification of the time constant in the single input single output (SISO) first order linear model. A new explicit approach for the simultaneous online optimal experiment design (OED) and model parameter identification is presented. Based on the observation theory and a model based predictive control (MPC) algorithm, this approach aims to solve an optimal control problem where input and output constraints may be specified. This constrained control objective aims to maximize the sensitivity of the model output with respect to the unknown model parameter (the time constant). The control law is derived explicitly offline and simple to be implemented: the input may be computed fast online while the unknown model time constant is estimated at the same time. © 2015

关键词： model predictive control Identification (control systems) Linear systems Optimal control systems Predictive control systems Input and output constraints Input design model based predictive control model parameter identifications observers Optimal experiment design Predictive control Single input single output

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