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
This paper considers the estimation of states and parameters of a Single-Degree-of-Freedom (SDOF) vibration model in nanopositioning system based on a nonlinear Moving Horizon Observer (MHO). The MHO is experimentally...
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ISBN:
(纸本)9781457710957
This paper considers the estimation of states and parameters of a Single-Degree-of-Freedom (SDOF) vibration model in nanopositioning system based on a nonlinear Moving Horizon Observer (MHO). The MHO is experimentally tested and verified on measured data. The information about the displacement and speed together with the system parameters and unmodeled force disturbance is estimated through the Sequential Quadratic Programming (SQP) optimization procedure. The MHO provided superior performance in comparison with the benchmark method Extended Kalman Filter (EKF) in terms of faster convergence.
Nowadays, growth of electronic waste represents serious global problem. Therefore, ways of its recycling are searched. In the paper we deal with the printed circuit boards recycling. We focused on study of a cutting a...
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Nowadays, growth of electronic waste represents serious global problem. Therefore, ways of its recycling are searched. In the paper we deal with the printed circuit boards recycling. We focused on study of a cutting as an alternative method of conductive ways from plastic board separation as one of stages of the printed circuit board recycling procedure. For this purpose we formulated mathematic model of the cutting process and next we used its analytical solution for its modeling by mathematic software Maple. The obtained results confirm energy intensity of the cutting process.
The article deals with implementation of MEMS sensors to real-time safety circuit for automated rehabilitation device. It is necessary to acquire information about some dangerous situation during the rehabilitation pr...
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The article deals with implementation of MEMS sensors to real-time safety circuit for automated rehabilitation device. It is necessary to acquire information about some dangerous situation during the rehabilitation process as fast as possible. We need a real-time response from sensors, because there is additional time needed to stop a device of several milliseconds. There is designed solution the angle, velocity, acceleration and vibration of each joints of rehabilitation arm are monitored. The Device works independently of the control system, detects critical states, stops rehabilitation process and store critical data. Two accelerometers (analog and digital) and one gyroscope sensor are used in the device. The main information is acquired from combination of MEMS accelerometer values. Gyroscope provides a check data for operation reliability. The designed solution can be used in other automated devices too, where some unpredictable error during the operation can cause a human injury.
This paper investigates the problem of efficient data dissemination in Mobile Ad hoc NETworks (MANETs) with high mobility. A testbed is presented; which provides a high degree of mobility in experiments. The testbed c...
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This paper investigates the problem of efficient data dissemination in Mobile Ad hoc NETworks (MANETs) with high mobility. A testbed is presented; which provides a high degree of mobility in experiments. The testbed consists of 10 autonomous robots with mobile phones mounted on them. The mobile phones form an IEEE 802.11g ad hoc network to communicate with each other. A dynamic network topology is assumed, where the mobile devices form a cooperative cluster in order to exchange data packets among each other. In our multimedia exchange scenario, the initial state is that one device carries all information, and the goal is to convey that information to all devices. A strategy is proposed that uses UDP broadcast transmissions and random linear network coding to facilitate the efficient exchange of information in the network. An application is introduced that implements this strategy on Nokia phones. The measurement results collected from the testbed are presented, and the performance of the proposed strategy is compared to a reference strategy that is based on TCP unicast connections.
For the adaptive control of imprecisely and partially modeled nonlinear systems a novel class of "Model Reference Adaptive controllers" (MRAC) using "Robust Fixed Point Transformation" (RFPT) was r...
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The main idea of this project is to simulate the thermal construction responses in dependence on changing boundary conditions. In order to predict environmental temperature precisely a model of one room has been devel...
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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 is focused on reference tracking and disturbance rejection for linear time-invariant time delay systems. The contribution is motivated by the fact that the task of reference tracking and disturbance rejecti...
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An algorithmic framework is developed for automatic deployment of car-like robots based on Linear Temporal Logic (LTL) formulae over a set of regions of interest in the environment. The environment and the regions of ...
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