This paper presents a new micro electro-thermal actuator with vertical motion. In the traditional vertical electro-thermal actuators, the arms of actuators are fabricated with different widths to provide high and low ...
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The main contribution of this work is the development of a Matlab/Simulink-based software environment that allows the integrated simulation, validation and fast prototyping of real-time control algorithms for inductio...
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The main contribution of this work is the development of a Matlab/Simulink-based software environment that allows the integrated simulation, validation and fast prototyping of real-time control algorithms for induction machines. The transition from the simulation phase to the real-time prototyping is straightforward. A single modification by user is required to perform the substitution of simulation tools by real-lime tools. The algorithm developed is kept in the environment during the whole design process. Real-time tools will read sensors signals and send control signals for the drivers. Practical results were obtained and are hereby presented in order to illustrate the use and the characteristics of the platform. The use of flux estimators and current control was also exemplified in simulation and real-time implementation in such way that all the potentiality of the developed platform could be demonstrated.
On-line ash monitors have been in use for many years in coal industry. Their operation is usually based on the scattering or the absorption of incident gamma radiation, and the derived ash value is the result of a tim...
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On-line ash monitors have been in use for many years in coal industry. Their operation is usually based on the scattering or the absorption of incident gamma radiation, and the derived ash value is the result of a time-averaged measurement. The natural radiation method is also used in on-line ash content measurements. A review of the ash monitors applied in Polish coal preparation plants is presented in this paper. Most of monitor installations are designed to monitor trends of ash content in coals, rather than to react to rapid changes of ash content. These data averaged over the period of tens of seconds (or several minutes) are often used by an operator to adjust the operation of a plant manually. In the case of closed loop control systems with on-line ash monitors, the dynamic properties of these instruments are important. The concept of an ash monitor with a time constant (or a time of measurement) adapting to variations of an input signal (ash content) have been analyzed. The fuzzy logic has been applied to establish the structure of the adaptive filter. Such a system allows us to speed-up the reaction of the instrument to rapid variations of ash content and at the same time to achieve better statistical accuracy over a longer period of time. This is particularly important in closed loop control systems or in splitting of a coal stream to different products. Simulation analysis of the coal blending control system applied in the "Sosnica" plant is presented in this article. Application of an on-line ash monitor with an adaptive time constant is discussed and some results of practical experiments are presented. [ABSTRACT FROM AUTHOR]
Autonomous mobile robots need to use spatial information about the environment in order to effectively plan and execute navigation tasks. The information can be represented at different levels of abstraction, ranging ...
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In this paper, several relations between pole placement (PP) controller and unconstrained predictive controller are investigated. The placement of poles at certain positions leads to various types of time optimal cont...
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The feedback control structures are required in the presence of any kind of uncertainty. The benefits of the feedback are mainly paid with an excessive bandwidth that amplifies the sensor noise, saturating the actuato...
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This paper introduces a new approach to reduce the computational load of nonlinear model based predictive controllers. The idea is based on dividing a long prediction horizon into only a few equidistant intervals with...
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This paper introduces a new approach to reduce the computational load of nonlinear model based predictive controllers. The idea is based on dividing a long prediction horizon into only a few equidistant intervals with piecewise constant control signals. After solving a first dynamic optimization problem the prediction horizon is halved, keeping the second half of the solution fixed. and doubling the sampling rate in the first half of the control horizon. Using these settings a second optimization is performed to improve the first acquired solution. This procedure is repeated until the applied control step has a reasonable sampling time. In this paper the multirate method is merged with the Quasi-Infinite Horizon Nonlinear Predictive control scheme, based on augmenting the optimization problem with a terminal region condition and the objective function with a quadratic terminal cost term. Some illustrative simulation results are presented to show the improved stability and computational cost properties of the resulting control strategy without deteriorated quality of control.
One of the basic issues in the navigation of autonomous mobile robots is the obstacle avoidance task that is commonly achieved using a reactive control paradigm where a local mapping from perceived states to actions i...
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One of the basic issues in the navigation of autonomous mobile robots is the obstacle avoidance task that is commonly achieved using a reactive control paradigm where a local mapping from perceived states to actions is acquired. A control strategy with learning capabilities in an unknown environment can be obtained using reinforcement learning where the learning agent is given only sparse reward information. This credit assignment problem includes both temporal and structural aspects. While the temporal credit assignment problem is solved using core elements of the reinforcement learning agent, solution of the structural credit assignment problem requires an appropriate internal state space representation of the environment. In this paper, a discrete coding of the input space using a neural network structure is presented as opposed to the commonly used continuous internal representation. This enables a faster and more efficient convergence of the reinforcement learning process.
Internal thermally coupled distillation column (ITCDIC) is the frontier of energy saving distillation research. In the paper, an evaluation method on operating cost and its saving in the ITCDIC processes of ideal mixt...
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ISBN:
(纸本)0780372980
Internal thermally coupled distillation column (ITCDIC) is the frontier of energy saving distillation research. In the paper, an evaluation method on operating cost and its saving in the ITCDIC processes of ideal mixtures is presented. A mathematical model for optimization is first derived. The benzene-toluene system is studied as an illustrative example. The optimization results show that the energy cost saving potential is close to 40% and annual energy cost saving is about 0.3 million dollars compared with the operating cost of a conventional distillation column operated at the minimum reflux ratio. The process analysis is also carried out. The optimal operating conditions and some useful results are obtained. These pave the way for the smooth operation and the further optimal design of ideal ITCDIC processes.
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