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Proceedings ArticleDOI

Design of structure parameters for gasoline engine common rail system based on random algorithm

TLDR
The high common rail system model of GDI engine is established and the random algorithm is used to obtain the optimal controller parameters, and a basis is provided for optimally designing the parameters of the cylinder diameter and common rail volume.
Abstract
The stable operation of common rail system is significant for GDI engine and the rail pressure fluctuation affects the engine performance directly. The common rail volume and the cylinder diameter are the key structure parameters of common rail system to affect the rail pressure fluctuation. To design the structure parameters of high common rail system for decreasing the rail pressure fluctuation, the high common rail system model of GDI engine is established and the random algorithm is used to obtain the optimal controller parameters. Then, through the simulation experiments, the effects of structure parameters on the stability of common rail pressure are analyzed. Finally a basis is provide for optimally designing the parameters of the cylinder diameter and common rail volume.

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Journal ArticleDOI

Control system design for proton exchange membrane fuel cell based on a common rail (II): Optimization and schedule scheme for the common rail

TL;DR: A minimum nozzle configuration scheme is presented to optimise a given common rail for the minimum number of valves and two strategies to equalise and optimise the workload (conduction ratio and switching frequency) of each valve are developed.
References
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Journal ArticleDOI

An overview of control performance assessment technology and industrial applications

TL;DR: A review of the current status in control performance assessment (CPA) technology and industrial applications is presented in this paper, where the authors highlight the benefits and drawbacks of each CPA method.
Journal ArticleDOI

Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay.

TL;DR: The paper shows that random variation in network delay can be handled efficiently with fuzzy logic based PID controllers over conventional PID controllers.
Journal ArticleDOI

Randomized algorithms for robust controller synthesis using statistical learning theory

TL;DR: In this article, it is shown that the uniform convergence of empirical means (UCEM) property holds in any problem in which the satisfaction of a performance constraint can be expressed in terms of a finite number of polynomial inequalities.
Journal ArticleDOI

Adaptive and Learning Control for SI Engine Model With Uncertainties

TL;DR: In this article, the authors present nonlinear control approaches for multi-input multi-output engine models, by developing adaptive control and learning control design methods, which are capable of dealing with both constant uncertainty and time-varying periodic uncertainty.
Journal ArticleDOI

Randomized algorithms for stability and robustness analysis of high-speed communication networks

TL;DR: This paper introduces a nonlinear algorithm for source flow controllers for sources, which uses as feedback aggregate congestion and delay information from bottleneck nodes of the network, and depends on a number of parameters, among which are link capacities, user preference for utility, and pricing.
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