A control oriented multivariable identification procedure for turbocharged diesel engines

Criens, Chris; Keulen, T.A.C. van; Willems, Frank; Steinbuch, M Maarten

doi:10.1504/ijpt.2016.076560

Cited by 4 publications

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“…The results and figures in this section are taken from [38]. The goal of the thesis was the design of a control system for heavy-duty diesel engines that is capable of combining a low fuel consumption with low emissions of nitrogen oxides (NOx) and particulate matter (PM) [40], [39]. In addition, these properties should be maintained when disturbances are present.…”

Section: Characterization Of the Air Path Of A Diesel Enginementioning

confidence: 99%

“…The excitation signals should meet level constraints, and also the Figure 15. Measurement of the frequency response function and the nonlinear distortion levels of the diesel engine for the operating point 1455 RPM and 120mg/injection [40], [38], [39]. The figures show respectively the N Ox emissions (a), the engine-out air-fuel equivalence ratio λ (b), and the pressure difference between intake and exhaust manifold p (c).…”

Section: Ground Vibration Test On An Air Fightermentioning

confidence: 99%

“…and particulate matter (PM) [40], [39]. In addition, these properties should be maintained when disturbances are present.…”

Section: Characterization Of the Air Path Of A Diesel Enginementioning

confidence: 99%

“…Figure 14. Nonparametric measurement of the frequency response function and the nonlinear distortions analysis of the air path of a turbocharged diesel engine around a fixed operating point[38],[40],[39].…”

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Linear System Identification in a Nonlinear Setting: Nonparametric Analysis of the Nonlinear Distortions and Their Impact on the Best Linear Approximation

2016

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Linear system identification [1]-[4] is a basic step in modern control design approaches. Starting from experimental data, a linear dynamic time-invariant model is identified to describe the relationship between the reference signal and the output of the system. At the same time, the power spectrum of the unmodeled disturbances is identified to generate uncertainty bounds on the estimated model. Linear system identification is also used in other disciplines, for example vibrational analysis of mechanical systems, where it is called modal analysis [5], [6]. Because linear time-invariant models are a basic model structure, linear system identification is frequently used in electrical [7]-[10], electronic, chemical [11], civil [12], and also in biomedical applications [13]. It provides valuable information to the design engineers in all phases of the design process.Starting from the late 1960s, system identification tools have been developed to obtain parametric models to describe the dynamic behavior of systems. A formal framework is set up to study the theoretical properties of the system identification algorithms [1]- [3]. The consistency (does the estimated model converge to the true system as the amount of data grows?) and the efficiency (is the uncertainty of the estimated model as small as possible?) are analyzed in detail. Underlying all these results are the assumptions that the system to be modeled is linear and time invariant.It is clear that these assumptions are often (mostly?) not met in real-life applications. Most systems are only linear to a first approximation. Depending on the excitation level, the output is disturbed by nonlinear distortions so that the linearity assumption no longer holds. This immediately raises doubts about the validity of the results obtained and validated by the linear system identification framework. The term nonlinear distortions indicates that nonlinear systems with a (dominant) linear term are considered. The deviations from the linear behavior are called nonlinear distortions.

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Section: Characterization Of the Air Path Of A Diesel Enginementioning

confidence: 99%

Section: Ground Vibration Test On An Air Fightermentioning

confidence: 99%

“…and particulate matter (PM) [40], [39]. In addition, these properties should be maintained when disturbances are present.…”

Section: Characterization Of the Air Path Of A Diesel Enginementioning

confidence: 99%

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