Model based predictive control (MBPC) is a class of computer algorithms that explicitly use a process model to predict future plant outputs and compute an appropriate control action through on-line optimization of a c...
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Model based predictive control (MBPC) is a class of computer algorithms that explicitly use a process model to predict future plant outputs and compute an appropriate control action through on-line optimization of a cost objective function over a future horizon, subject to various constraints. This paper presents an MBPC type algorithm applied to nonlinear processes. The basic idea of the algorithm is the on-line simulation of the future behavior of the control system, by using a few candidate control sequences. Then, using rule based control, these simulations are used to obtain the 'optimal' control signal. The efficiency and applicability of the proposed algorithm are demonstrated through applications
The knowledge of the workspace of a 2 DOF mini parallel robot is very important in planning a dextrous manipulation task. In this paper, we propose an approach to compute and visualize the workspace of a 2 DOF mini pa...
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The knowledge of the workspace of a 2 DOF mini parallel robot is very important in planning a dextrous manipulation task. In this paper, we propose an approach to compute and visualize the workspace of a 2 DOF mini parallel robot. Planar parallel robots are good candidates for microminiaturization into a microdevice. The workspace is one of the most important kinematic properties of robots, even by practical viewpoint because of its impact on robot design. A program was created in MATLAB for workspace analysis of 2 DOF parallel robots. Singular configurations are also obtained.
In the paper are presented experimental results obtained for acoustic equipment designed to reduce the noise and vibration of the Diesel car engine with direct injection, in transient functioning conditions. Laborator...
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In the paper are presented experimental results obtained for acoustic equipment designed to reduce the noise and vibration of the Diesel car engine with direct injection, in transient functioning conditions. Laboratory tests carried out show significant changes regarding the noise and vibrations produced by the engine, with a small fuel consumption reduction as well.
In this paper is presented a new mathematical model and a numerical programme in Mapple 11 programming language, for optimum design of the interior shape of a hydraulic annular diffuser with interior divergent careeni...
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In this paper is presented a new mathematical model and a numerical programme in Mapple 11 programming language, for optimum design of the interior shape of a hydraulic annular diffuser with interior divergent careening. The mathematical model was determined to respect the minimum values of the whole loss pressure. The proposed programme solves numericayl the nonlinear mathematical model and prints the results.
Model Based Predictive Control is a class of computer algorithms that explicitly use a process model to predict future plant outputs and compute an appropriate control action through on-line optimization of a cost obj...
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Model Based Predictive Control is a class of computer algorithms that explicitly use a process model to predict future plant outputs and compute an appropriate control action through on-line optimization of a cost objective over a future horizon, subject to various constraints. The cost function is defined in terms of the tracking error (the difference between the predicted output and set-point). Using this scheme, many different MBPC algorithms have been proposed in the literature. This paper presents an adaptive-predictive control algorithm, which uses on-line simulation and rule-based control. The algorithm is applied to an electrode position system of an electric arc furnace. Electric arc furnaces are commonly used in steelmaking and in smelting of nonferrous metals. To obtain the electric arc, usually there are used three graphite electrodes. The power level depends by the positions of the electrodes. As a result, the realization of a competitive control system is very important because it led to reduction of the energy consumption, pollution, and increases the safety of the process.
In this paper a mono-objective optimum design procedure for parallel robot is outlined by using optimality criterion of workspace and numerical aspects. A mono-objective optimization problem is formulated by referring...
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In this paper a mono-objective optimum design procedure for parallel robot is outlined by using optimality criterion of workspace and numerical aspects. A mono-objective optimization problem is formulated by referring to a basic performance of parallel robots. Additional objective functions can be used to extend the proposed design procedure to more general but specific design problems. A kinematic optimization was performed to maximize the workspace of the mini parallel robot. Optimization was performed using genetic algorithms
The objective of this paper is to analyze through the Finite Elements Method (FEM) and to dimensional optimize the frontal radiators of cooling system for electric power transformer by type TTU 630 kVA 20/0.4 kV in te...
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The objective of this paper is to analyze through the Finite Elements Method (FEM) and to dimensional optimize the frontal radiators of cooling system for electric power transformer by type TTU 630 kVA 20/0.4 kV in terms of maximum heat transfer. Finite Elements Analysis was performed using Solid Works 3D CAD Design and COSMOSFlow Works 2008 Soft ware. The proposed method results in the economical design of the electric power transformer by type 630 kVA 20/0.4 kV significantly reduce the cost of manufacturing transformer.
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