the system which allows automating the visual monitoring of the spacecraft ATV rendezvous / separations withthe international space station is being considered. the initial data for this complex is the video signal r...
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the system which allows automating the visual monitoring of the spacecraft ATV rendezvous / separations withthe international space station is being considered. the initial data for this complex is the video signal received from the TV-camera, mounted on the station board. the offered algorithms of this video signal processing in real time allow restoring the basic characteristics of the spacecraft motion with respect to the international space station. the results of the experiments withthe described software and real and virtual video data about the docking approach of the spacecraft withthe international Space Station are being presented. the accuracy of the estimation of the motion characteristics and perspectives of the use of the package are being discussed.
this paper deals withthe robust stabilization of a car-like mobile robot given in a perturbed chained form. A higher order sliding mode control strategy is developed. this control strategy switches between two differ...
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this paper deals withthe robust stabilization of a car-like mobile robot given in a perturbed chained form. A higher order sliding mode control strategy is developed. this control strategy switches between two different sliding mode controls: a second order one (super-twisting algorithm) and a new third order sliding mode controlthat performs a finite time stabilization. the proposed third sliding mode controller is based on geometric homogeneity property with a discontinuous term. Simulation results show the control performance.
the notion of switched discrete event systems (DES) has been introduced recently. this is a class of DES where each automaton is the composition of two basic automata, but with different composition operators. A switc...
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ISBN:
(纸本)9789728865825
the notion of switched discrete event systems (DES) has been introduced recently. this is a class of DES where each automaton is the composition of two basic automata, but with different composition operators. A switching occurs when there is a change of the composition operator, but keeping the same two basic automata. A mode behavior is defined as the active DES behavior for a given composition operator. Composition operators are supposed to change more than once so that each mode is visited more than once. In this paper we study the modeling and control of an experimental manufacturing system as an example of switched DES.
Path planning and obstacle avoidance algorithms are requested for robots working in more and more complicated environments. Standard methods usually reduce these tasks to the search of a path composed from lines and c...
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ISBN:
(纸本)9789728865832
Path planning and obstacle avoidance algorithms are requested for robots working in more and more complicated environments. Standard methods usually reduce these tasks to the search of a path composed from lines and circles or the planning is executed only with respect to a local neighborhood of the robot. Sophisticated techniques allow to find more natural trajectories for mobile robots, but applications are often limited to the offline case. the novel hierarchical method presented in this paper is able to find a long path in a huge environment with several thousand obstacles in real time. the solution, consisting of multiple cubic splines, is optimized by Particle Swarm Optimization with respect to execution time and safeness. the generated spline paths result in smooth trajectories which can be followed effectively by nonholonomic robots. the developed algorithm was intensively tested in various simulations and statistical results were used to determine crucial parameters. Qualities of the method were verified by comparing the method with a simple PSO path planning approach.
this paper deals withthe problem of traffic flow modelling and state estimation for historical urban areas. the most important properties of the traffic system are described. then the model of the traffic system is p...
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ISBN:
(纸本)9789728865832
this paper deals withthe problem of traffic flow modelling and state estimation for historical urban areas. the most important properties of the traffic system are described. then the model of the traffic system is presented. the weakness of the model is pointed out and subsequently rectified. Various estimation and identification techniques, used in the traffic problem, are introduced. the performance of various filters is validated, using the derived model and synthetic and real data coming from the center of Prague, with respect to filter accuracy and complexity.
Predictive and optimal process control using finite Markov chains is considered. A basic procedure is outlined, consisting of discretization of plant input and state spaces;conversion of a (a priori) plant model into ...
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ISBN:
(纸本)9789728865849
Predictive and optimal process control using finite Markov chains is considered. A basic procedure is outlined, consisting of discretization of plant input and state spaces;conversion of a (a priori) plant model into a set of finite state probability transition maps;specification of immediate costs for state-action pairs;computation of an optimal or a predictive control policy;and, analysis of the closed-loop system behavior. An application, using a MATLAB toolbox developed for MDP-based process control design, illustrates the approach in the control of a multivariable plant with both discrete and continuous action variables. For problems of size of practical significance (thousands of states), computations can be performed on a standard office PC. the aim of the work is to provide a basic framework for examination of nonlinear control, emphasizing in on-line learning from uncertain data.
the paper presents an output-feedback model predictive control applied to the motion control of a dynamic model of a parallel kinematic machine. the controlled system is described by a stochastic linear discrete-time ...
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ISBN:
(纸本)9789897585227
the paper presents an output-feedback model predictive control applied to the motion control of a dynamic model of a parallel kinematic machine. the controlled system is described by a stochastic linear discrete-time model with bounded disturbances. An approximate uniform Bayesian filter provides set state estimates. the choice of the specific point estimate from this set is a part of the optimization. the cost function includes penalties on the tracking error and the actuation effort respecting increments. Illustrative examples show the effectiveness of the proposed approach and provide a comparison with previous results.
A fast and successful digitation of the industry is meant to be a key issue for Europe in order to maintain its leading role. the new industrial revolution will be based on data as raw material, where the digital econ...
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ISBN:
(纸本)9789897581984
A fast and successful digitation of the industry is meant to be a key issue for Europe in order to maintain its leading role. the new industrial revolution will be based on data as raw material, where the digital economy will merge as a real economy. the challenges for a "hard" sector where traditionally the "soft" has not been considered as an asset are evident and notorious. In this paper IK4-IDEKO, as part of a machine tool builder group, DANOBATGROUP, provides a vision of the challenge and the approach for the solution, supported by results of the current work.
the well-known electro-mechanical analogy that equates current, voltage, resistance, inductance and capacitance to force, velocity, damping, spring constant and mass has a shortcoming in that mass can only be used to ...
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ISBN:
(纸本)9789728865849
the well-known electro-mechanical analogy that equates current, voltage, resistance, inductance and capacitance to force, velocity, damping, spring constant and mass has a shortcoming in that mass can only be used to simulate a capacitor which has one terminal connected to ground. A new model that was previously proposed by the authors that combines a mass with a pulley (MP) is shown to simulate a capacitor in the general case. this new MP model is used to model the off-diagonal elements of a mass matrix so that devices whose effective mass is coupled between more than one actuator can be represented by a mechanical system diagram that is topographically parallel to its equivalent electric circuit model. Specific examples of this technique are presented to demonstrate how a mechanical model can be derived for both a serial and a parallel robot with both two and three degrees of freedom. the technique, however, is extensible to any number of degrees of freedom.
this paper proposes an online type control parameter tuning method for a predictive PI controller. Predictive PI controller is based on a PI controller with a Smith predictor, and it is effective for a controlled obje...
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ISBN:
(纸本)9789897583803
this paper proposes an online type control parameter tuning method for a predictive PI controller. Predictive PI controller is based on a PI controller with a Smith predictor, and it is effective for a controlled object with large dead-time. control performance of the predictive PI controller strongly depends on control parameters. Recently, some data-driven controller tuning methods have been proposed. the methods directly calculate suitable parameters from one or some sets of operating data. In addition, almost controlled processes are time-variant. In this paper, a data-driven self-tuning predictive PI controller is proposed. the effectiveness of the proposed scheme is evaluated by a simulation example.
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