In this paper, a continuous, time varying adaptive controller is developed for an underactuated quadrotor unmanned aerial vehicle (UAV). The vehicle's dynamic model is subject to uncertainties associated with mass...
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Abstract Due to more and more stringent emission regulations the optimisation of transient engine operation becomes necessary for future Diesel engine developments. Exemplary for the transient operation a step in acce...
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Abstract Due to more and more stringent emission regulations the optimisation of transient engine operation becomes necessary for future Diesel engine developments. Exemplary for the transient operation a step in acceleration pedal is investigated and optimised with respect to the engine emissions. This gives insights about the emission formation at transient driving and a benchmark for the design of open and closed-loop controls. A model structure to simulate the engine emissions and the engine torque is presented. It consists of a dynamical mean value air path model and a stationary combustion model. Thus the relevant outputs NO x , soot and torque are simulated with respect to the engine actuators. For optimisation the calibrated emission values for steady state are regarded. The actuators of the air path and the crank angle of the main injection are optimised such that the emissions follow a desired trajectory. The results are compared to a non-optimised step in acceleration and to a nonlinear closed loop control of the air path.
Based on deep investigation to the static and dynamic characteristics of Hammerstein and Wiener model structures, this paper proposes an included angle based nonlinearity measure for SISO Hammerstein-like systems. The...
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Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state op...
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A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The id...
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ISBN:
(纸本)9780889868632
A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The identification of the structurally different discrete event system models describing a system in its normal and/or faulty modes was used for model-based isolation of the considered faulty modes. From the available process mining techniques that allow for the automatic construction of process models in Petri net form based on event logs, the genetic algorithm-based structure identification procedure has been found to be most capable of identifying the characteristic structural elements of the faulty models. The proposed procedures are illustrated on a simple example of an operated parking gate automaton with two faulty modes.
Hammerstein models are popular in describing nonlinear chemical processes. The general control strategy for Hammerstein models is the nonlinearity inversion method, which is unfortunately inapplicable to Hammerstein s...
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Atmospheric 3rd line diesel oil solidifying point is an important quality index, which cannot be measured in real time, in petroleum industry. Due to the great nonlinear characteristic of distillation columns, common ...
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Atmospheric 3rd line diesel oil solidifying point is an important quality index, which cannot be measured in real time, in petroleum industry. Due to the great nonlinear characteristic of distillation columns, common statistic methods, such as PCR and PLS, based on linear projection, are not able to estimate such a quality index effectively. In this paper, Adaptive kernel based Relevance Vector Machine (aRVM) is introduced to build a nonlinear soft sensor model. This soft sensor is then applied to a real solidifying point estimation experiment, with comparison to other nonlinear models such as KPLS, SVM and typical RVM. The result reveals that aRVM shows better performance than KPLS, SVM and models a much sparser representation than SVM and typical RVM.
The calibration curve of some metal tube rotameter has the characteristic of mutationIf the nonlinear least square method is still used as the method of linear correction, it will increase the measurement error and re...
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The calibration curve of some metal tube rotameter has the characteristic of mutationIf the nonlinear least square method is still used as the method of linear correction, it will increase the measurement error and reduce the measurement accuracyThis paper presents a Division Ordinary Least Squares Method, which can reduce errors and improve accuracyBy the algorithm comparative experiment it can be proved that the method can improve the measurement accuracy.
The velocity of solid particles in gas-solid two-phase flow is an important parameter, which can reflect the flow condition of gas-solid two-phase flow. However, it is difficult to be measured. The electrostatic senso...
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The velocity of solid particles in gas-solid two-phase flow is an important parameter, which can reflect the flow condition of gas-solid two-phase flow. However, it is difficult to be measured. The electrostatic sensor combined with correlation technique provides a proper solution to the velocity measurement of gas-solid two-phase flow. The digital signal controller dsPIC33F, which has the advantages of MCU and DSP, had been used in the design of embedded correlator. This correlator has the advantages of simple structure, good real-time performance, high reliability and low power consumption. Through the experiments on the belt electrostatic induction apparatus, this system can meet the requirement of the velocity measurement of gas-solid two-phase flow.
This paper is concerned with the stability analysis and controller design for a class of discrete-time Markovian jump systems subject to incomplete knowledge of transition probabilities. Different from the previous re...
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