Mean Value Model and Control of a Marine Turbocharged Diesel Engine

Malkhede, Dileep; Seth, B.; Dhariwal, H.C.

doi:10.4271/2005-01-3889

Cited by 19 publications

(13 citation statements)

References 15 publications

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“…Engine models of a varying range of accuracy and computational time can be employed depending on the required application [19,20]. Cycle mean value engine models (MVEM) [21][22][23][24][25][26][27][28][29] and zero-dimensional models (0-D) [30][31][32][33][34][35][36] are extensively used both for the evaluation of engine steady-state performance and transient response, in cases where the requirements for predicting details of the combustion phase are limited. The former are simpler and faster and provide adequate accuracy in the prediction of most engine output variables [25,29]; the latter include more detailed modelling of the engine physical processes and therefore, more realistic representation of the physical processes as well as higher accuracy can be obtained at the expense of additional computational time.…”

Section: Introductionmentioning

confidence: 99%

“…As a consequence, the in-cycle variation (per crank-angle degree) of internal parameters such as pressure and temperature cannot [27,37]. MVEMs have been extensively described in the scientific literature [38][39][40] and were employed for modelling of marine Diesel engines, both two-stroke [25][26][27][28][29] and four-stroke [21][22][23]. Zero dimensional (0-D) models operate per crank-angle basis by using the mass and energy conservation equations, along with the gas state equation, which are solved in their differential form, so that the parameters of the gas within the engine cylinders and manifolds, such as pressure, temperature and gas composition can be calculated.…”

Section: Introductionmentioning

confidence: 99%

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Development of a combined mean value–zero dimensional model and application for a large marine four-stroke Diesel engine simulation

Baldi

Theotokatos²,

Andersson

2015

Applied Energy

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h i g h l i g h t sDevelopment of a combined mean value-zero dimensional engine model. Application for simulating a large marine Diesel four-stroke engine. Results comparable to the respective ones of the mean value model. Enhancement of mean value models predictive ability with adequate accuracy. Appropriate where the mean value approach exceeds its limitations. a b s t r a c tIn this article, a combined mean value-zero dimensional model is developed using a modular approach in the computational environment of Matlab/Simulink. According to that, only the closed cycle of one engine cylinder is modelled by following the zero-dimensional approach, whereas the cylinder open cycle as well as the other engine components are modelled according to the mean value concept. The proposed model combines the advantages of the mean value and zero-dimensional models allowing for the calculation of engine performance parameters including the in-cylinder ones in relatively short execution time and therefore, it can be used in cases where the mean value model exceeds its limitations. A large marine four-stroke Diesel engine steady state operation at constant speed was simulated and the results were validated against the engine shop trials data. The model provided results comparable to the respective ones obtained by using a mean value model. Then, a number of simulation runs were performed, so that the mapping of the brake specific fuel consumption for the whole operating envelope was derived. In addition, runs with varying turbocharger turbine geometric area were carried out and the influence of variable turbine geometry on the engine performance was evaluated. Finally, the developed model was used to investigated the propulsion system behaviour of a handymax size product carrier for constant and variable engine speed operation. The results are presented and discussed enlightening the most efficient strategies for the ship operation and quantifying the expected fuel savings.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a combined mean value–zero dimensional model and application for a large marine four-stroke Diesel engine simulation

Baldi

Theotokatos²,

Andersson

2015

Applied Energy

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“…Engine controls and controller designs are presented in Chin and Coats (1986), Weisman (1987), Tsai and Goyal (1986), Tuken et al (1990), Scotson and Heath (1996), Balfour et al (2000), Christen et al (2001), and Malkhede et al (2005). An adaptive torque controller design is reported by Fullmer et al (1992).…”

Section: Engine Controller Designmentioning

confidence: 94%

Diesel engine system dynamics, transient performance, and electronic controls

Xin¹

2013

Diesel Engine System Design

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“…where l is the load, η i = η i (load) is the indicated thermal efficiency (provided by Wärtsilä), Q HV is the lower heating value of the fuel, f mep = (C 1 + 48(N e /1000) + 0.4S 2 p ) · 10 3 is the friction mean effective pressure experimental equation [9] with C 1 = 75 kPa, N e is the engine speed (rpm), S p is the mean piston speed and P e,max is the maximum engine power.…”

Section: )mentioning

confidence: 99%

“…Airpath modeling (pressure in the intake and exhaust manifolds, compressor power and wastegate actuator dynamics) is based on the socalled "filling and emptying" approach, where the manifolds are assumed to be reservoirs with the gas flowing through [8]. Prime-mover is modeled with Newton's second law of motion [9]. This modeling is well-known and has been used by many authors [1][2] [4][10] [11][12] [13].…”

Section: A Modelingmentioning

confidence: 99%

Robust and adaptive wastegate control of turbocharged internal combustion engines

Samokhin

Zenger

2014

2014 American Control Conference

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This work deals with advanced control methods for marine turbocharged internal combustion diesel engines (ICDE) equipped with a wastegate. Two fundamentally different approaches are proposed for a wastegate control -robust multivariable mixed-sensitivity and indirect output-based adaptive control. Robust multivariable controller design is rather common approach for internal combustion engines control that can be found from many papers, whilst indirect adaptive control is still novel in this area. This paper aims to determine the benefits and drawbacks of these control algorithms in their application for a wastegate control. A nonlinear model of diesel engine is derived and linearized for a control design. Both algorithms are then described, modeled and applied to this model.

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Mean Value Model and Control of a Marine Turbocharged Diesel Engine

Cited by 19 publications

References 15 publications

Development of a combined mean value–zero dimensional model and application for a large marine four-stroke Diesel engine simulation

Development of a combined mean value–zero dimensional model and application for a large marine four-stroke Diesel engine simulation

Diesel engine system dynamics, transient performance, and electronic controls

Robust and adaptive wastegate control of turbocharged internal combustion engines

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