The increasing demands on quality of power, emissions and overall performance of combustion engines lay new goals for the hardware and the software development of control systems. High-performance embedded controllers...
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ISBN:
(纸本)9781447122203
The increasing demands on quality of power, emissions and overall performance of combustion engines lay new goals for the hardware and the software development of control systems. High-performance embedded controllers open the possibilities for application of numerical methods to solve the problems of modeling and control of combustion engines. Algorithms for estimation of state and parameters are essential components of many advanced control, monitoring and signal processing engine applications. A widely applicable estimator is given by the Extended Kalman Filter (EKF) which defines a finite memory recursive algorithm suited for real-time implementation, where only the last measurement is used to update the state estimate, based on the past history being approximately summarized by the a priori estimate of the state and the error covariance matrix estimate. The proposed EKF uses an augmented air-path state-space model to estimate unmeasurable mass flow quantities. The EKF algorithm based on the augmented state-space model considerably reduces the modeling errors compared to the open loop estimator simulation and compared to the EKF without the augmentation which is demonstrated on a standard production Diesel engine data. The experimental validation of the observed state quantities is performed against the measured pressures and turbocharger speed data. The estimated mass flow quantities are indirectly validated through the air compressor flow that is directly validated against air mass flow sensor data. Two two-sensor setups are considered in this study. In the first experiment the intake manifold pressure and the turbocharger speed is used. The second experiment uses the intake manifold pressure and the exhaust manifold pressure as the measurement information for the EKF. The second experiment gives more precise mass flow estimate in term of less bias on the estimates, but more variance due to the high frequency exhaust manifold pressure variations caused by the
The development of a Hardware-in-the-Loop (HiL) simulation platform for precision induction motor (IM) servo drive development, evaluation and testing of various control architectures is described in this paper. The p...
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The development of a Hardware-in-the-Loop (HiL) simulation platform for precision induction motor (IM) servo drive development, evaluation and testing of various control architectures is described in this paper. The platform uses industrial graded hardware components, i.e. Mitsubishi IGBT inverter, 3-phase induction motor and incremental optical encoder as well as various measurement sensors. Its main computational core is implemented using an xPC Target platform which enables rapid validation, prototyping and deployment of various control algorithms via Matlab & Simulink.
This paper presents human-robot communication for a monitoring support system in an Intelligent Space. An Intelligent Space (iSpace) is a space in which many intelligent devices are installed to observe the user's...
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This paper presents human-robot communication for a monitoring support system in an Intelligent Space. An Intelligent Space (iSpace) is a space in which many intelligent devices are installed to observe the user's environment. In this paper, we apply the iSpace observation function to a monitoring system used for maintaining the safety of elderly persons receiving home-care support. In addition, we use a mobile robot as a tool to deliver monitoring results to care assistants. We focus on an ethological approach for designing robot behaviors for human-robot communication. The implementation of these robot behaviors based on an ethological approach, and the results of an experiment conducted to evaluate these behaviors, are then presented.
This article is aimed on software requirements specification (SRS). At the beginning an introduction to requirement analysis field is provided. After that we point out the place of user requirements in software develo...
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In this paper, nonlinear identification of a Liquid-saturated Steam Heat Exchanger using Wavelet based State Dependent Parameter (WSDP) models is presented. This is a highly nonlinear, non-minimum phase process, and o...
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ISBN:
(纸本)9788993215038
In this paper, nonlinear identification of a Liquid-saturated Steam Heat Exchanger using Wavelet based State Dependent Parameter (WSDP) models is presented. This is a highly nonlinear, non-minimum phase process, and often operated under varying conditions. Here, in order to characterize such dynamics, 2-D WSDP model is used. The simulation results demonstrate the merit of the identified model.
This paper presents the application of Wavelet based State Dependent Parameter (WSDP) models to the identification of a Continuous Stirred-Tank Reactor (CSTR). Here, in order to characterize the process dynamics which...
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ISBN:
(纸本)9788993215038
This paper presents the application of Wavelet based State Dependent Parameter (WSDP) models to the identification of a Continuous Stirred-Tank Reactor (CSTR). Here, in order to characterize the process dynamics which is highly nonlinear and multi-variable dependent, 2-D WSDP model is used. The simulation results demonstrate the effectiveness and advantages of the identified model.
Thanks to development of information technology, the so-called virtual software environments offer wide possibilities for the estimation of time-space dynamical characteristics of energy systems, including modeling, c...
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ISBN:
(纸本)9781467320658
Thanks to development of information technology, the so-called virtual software environments offer wide possibilities for the estimation of time-space dynamical characteristics of energy systems, including modeling, control and design of distributed parameter systems. Based on these advances, we present a novel approach to control energy systems as lumped-input and distributed-parameter-output systems. An adaptive-predictive controller is deployed to control temperature fields to ensure optimal conditions for the desulphurization process in a coal-burning fluidized bed furnace, demonstrating the potential of the proposed methodology.
This paper proposes new optimization algorithms for the optimal tuning of PI controllers dedicated to a class of second-order processes with integral component and variable parameters. The sensitivity analysis with re...
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This article is aimed on software requirements specification (SRS). At the beginning an introduction to requirement analysis field is provided. After that we point out the place of user requirements in software deve...
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This article is aimed on software requirements specification (SRS). At the beginning an introduction to requirement analysis field is provided. After that we point out the place of user requirements in software development life *** are trying to propose basic method for the purpose of reusing Domain Model as basis of requirement generation in order to save initial time for defining user requirements in software engineering industry.
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