Nonlinear Internal Model Control of Diesel Air Systems

Nitsche, Rainer; Schwarzmann, Dieter; Hanschke, J.

doi:10.2516/ogst:2007043

Cited by 15 publications

(7 citation statements)

References 3 publications

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“…[9][10][11] However, due to the interactions between the two actuators, most of the work done considers controlling both actuators in one control strategy, such as in. 1,5,6,12 Furthermore, Many control strategies have been examined, such as sliding mode control in, 9 nonlinear internal model control in, 11 flatness based control in, 13 nonlinear model predictive control in, 6 constructive Lyapunov function control in. 1,5,12 However, for all those control techniques, having a precise model is a key issue in fulfilling optimal control.…”

Section: Vgt and Egr Controlmentioning

confidence: 99%

“…Basically, flatness property provides the system with a fictitious flat output, which can be used to explicitly express all states and inputs in terms of the flat output and a finite number of its derivatives. 11 The controller set up is shown in Figure 4.…”

Section: Sliding Mode Controlmentioning

confidence: 99%

“…If we have a 'perfect' model with no disturbance, this is nothing more than inverting the system in the feedforward control. In, 11 the internal model control was used with the flatness property to control the VGT. The model used is different since it does not consider the EGR path and the main goal of the controller is to regulate the boost pressure only.…”

Section: Internal Model Controlmentioning

confidence: 99%

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Survey of the state of affairs in diesel engine control

Al‐Durra¹

2018

JABB

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During the past decade, Diesel engine technology has stepped into the spotlight due to the great improvements made in materials, injection equipment, and emission treatment. 1 These improvements allowed to mitigate the disadvantages of the Diesel engine which can be summarized as: low power density, increased level of NOx and particulate matters (PM), noise and vibration harshness (NVH). 1 On the other hand, Diesel engines have the best fuel economy compared to the spark-ignited (SI) combustion engines. 2 Furthermore, Diesel engines allow high boost at all engine speeds and load conditions with high efficiency and transient performance. In order to achieve all of these advantages as well as alleviate the disadvantages, good control strategies must be implemented to control the main important paths: fuel path, air path, and EGR path. 3 In this report, the turbocharged Diesel control problems will be explored with some possible suggestions and ideas for more improvements.

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Section: Vgt and Egr Controlmentioning

confidence: 99%

Section: Sliding Mode Controlmentioning

confidence: 99%

Section: Internal Model Controlmentioning

confidence: 99%

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Survey of the state of affairs in diesel engine control

Al‐Durra¹

2018

JABB

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“…One can also find results on neural and fuzzy control both for compression ignition (CI) and spark ignition (SI) engines [7][8][9][10][11][12]. In particular, control of turbocharged diesel engines is a complicated problem because the nonlinear model of the engine cannot be subjected to static feedback linearization [13][14][15][16]. Therefore, one has to apply dynamic feedback linearization by extending the state vector of the system so as to include also as new state variables the derivatives of the initial control inputs.…”

Section: Introductionmentioning

confidence: 99%

A Differential Flatness Theory Approach to Embedded Adaptive Control of Turbocharged Diesel Engines

2016

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The use of efficient embedded control systems in the transportation industry and particularly in turbocharged Diesel engines requires the programming of elaborated nonlinear control and filtering methods. To this end, in this paper nonlinear control for turbocharged Diesel engines is developed with the use of Differential flatness theory and adaptive fuzzy control. It is shown that the dynamic model of the turbocharged Diesel engine is differentially flat and admits dynamic feedback linearization. It is also shown that the dynamic model can be written in the linear Brunovsky canonical form for which a state feedback controller can be easily designed. To compensate for modeling errors and external disturbances an adaptive fuzzy control scheme is implemented making use of the transformed dynamical system of the diesel engine that is obtained through the application of differential flatness theory. The control algorithm aims at satisfying the H ∞ tracking performance criterion, which means that the influence of the modeling errors and the external disturbances on the tracking error is attenuated to an arbitrary desirable level. After transforming the MIMO diesel engine system into the canonical form, the resulting control inputs are shown to contain nonlinear elements which depend on the system's parameters. The nonlinear terms which appear in the control inputs are approximated with the use of neuro-B G. Rigatos

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“…It's sure that the existence of error when using LS-SVM to identify the inverse model of the plant. So here, we lead into the internal model control (IMC) [10,11].…”

Section: Introductionmentioning

confidence: 99%

Using LS-SVM inverse model on actuator fault diagnosis and accommodation for nonlinear systems

Xingke

et al. 2010

2010 Sixth International Conference on Natural Computation

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For general nonlinear reversible multipleinput multiple-output (MIMO) nonlinear systems, a new approach is used in actuator fault estimation and accommodation. The new approach primary uses inverse system method to estimate the value of actuator fault and accommodates the inverse model of plant according to the estimation value. The series system via inverse model and plant has to remain the same pseudo-linear system. It's difficult to describe precisely the system in engineering actual. LS-SVM is used to identify the inverse model of nonlinear system, and it's sure that the existence of error when using identification tool to establish the inverse model of the plant, the controller with good robust is used in system.

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Nonlinear Internal Model Control of Diesel Air Systems

Cited by 15 publications

References 3 publications

Survey of the state of affairs in diesel engine control

Survey of the state of affairs in diesel engine control

A Differential Flatness Theory Approach to Embedded Adaptive Control of Turbocharged Diesel Engines

Using LS-SVM inverse model on actuator fault diagnosis and accommodation for nonlinear systems

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