Wave energy is one of the most promising forms of ocean renewable sources because of its high availability. The Wells turbine has been one of the defining technologies in the development of wave energy. In this paper ...
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ISBN:
(纸本)9781424438716
Wave energy is one of the most promising forms of ocean renewable sources because of its high availability. The Wells turbine has been one of the defining technologies in the development of wave energy. In this paper a neural control method for the Wells turbine-generator module is presented. For this purpose, a neural control using the backpropagation algorithm has been implemented, based on the addition of external resistances in series with the rotor winding of the induction generator connected to the turbine. The proposed controlsystem does appropriately adapt the rotor resistance according to the pressure drop entry. It will be shown how the controller avoids the stalling behaviour and that the average power of the generator fed into the grid is significantly higher in the controlled case than in the uncontrolled one.
In rescue robot competition field, a robot needs to operate in various dynamic environments where they encounter a multitude of unknown both static and/or moving obstacles and targets. Hence, the robot should have hig...
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This paper shows how control techniques, such as PID or generalized predictive control, can improve the performance of TCP/IP networks when dealing with congestion. Drop tail, or more sophisticated AQM techniques such...
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This paper shows how control techniques, such as PID or generalized predictive control, can improve the performance of TCP/IP networks when dealing with congestion. Drop tail, or more sophisticated AQM techniques such as RED, perform worse than process control techniques. A comparison between the different methods in different working scenarios is analyzed. Two different GPC controllers are evaluated. One considers the model resulting from on-line identification and the other is the linearization of the non-linear model.
A hierarchical Nonlinear Model Predictive control (NMPC) scheme with guaranteed Input-to-State-practical-Stability (ISpS) is proposed. The controller is formed by an Integral Sliding Mode (ISM) controller and a NMPC o...
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A hierarchical Nonlinear Model Predictive control (NMPC) scheme with guaranteed Input-to-State-practical-Stability (ISpS) is proposed. The controller is formed by an Integral Sliding Mode (ISM) controller and a NMPC one. The ISM, relying on the knowledge of the nominal continuous-time model of the system and of the piecewise constant control signal generated by the NMPC produces a control action aimed at reducing the difference between the dynamics of the nominal closed-loop system and the actual evolution of the state. The NMPC in this way can be designed based on a system with reduced uncertainty. In order to prove the stability of the overall control scheme, some general Regional ISpS results for continuous-time systems are proven.
This contribution addresses the problem of computing the probability that a linear system with uncertain inputs reaches an unsafe region in the state space. The probability of reaching unsafe states is bounded by an u...
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This contribution addresses the problem of computing the probability that a linear system with uncertain inputs reaches an unsafe region in the state space. The probability of reaching unsafe states is bounded by an upper limit, by intersecting enclosing hulls of the probability density function for time intervals with the specified unsafe regions. Disturbances are modeled as white Gaussian noise, whose mean is modeled as uncertain within specified sets. This allows to consider white non-Gaussian noise in an over-approximative manner. The presented approach is efficient in the sense that high-dimensional systems can be handled.
In this paper the realization and implementation of a multi-controller scheme made of a finite set of linear single-input-single-output controllers, possibly having different state dimensions, is studied. The supervis...
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The aim of the present study is to produce thermal energy from waste liquid. Emphasis is placed on the combustion gas analysis of free jets formed in stagnant air, in which a mixture of a waste liquid (e.g., pig-urine...
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ISBN:
(纸本)9781615671830
The aim of the present study is to produce thermal energy from waste liquid. Emphasis is placed on the combustion gas analysis of free jets formed in stagnant air, in which a mixture of a waste liquid (e.g., pig-urine) and a waste oil is injected in the horizontal direction. Here the combustion gas components H2, O2, N2, CH4, CO, CO2 and N2O are measured with the aid of a gas chromatograph. Consideration is given to the effects of flow rates of waste oil, waste liquid and air on the concentration of N2O. It is found that (i) the concentration of N2O and its production are affected by the mix rate of waste oil and waste liquid, and (ii) the corresponding production of N2O is increased in the combustion gases of only waste oil.
Incipient fault detection and isolation (FDI) in the current sensors of a controlled induction motor is addressed by an original diagnosis system based exclusively on the three-phase signals model. In this way we avoi...
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Incipient fault detection and isolation (FDI) in the current sensors of a controlled induction motor is addressed by an original diagnosis system based exclusively on the three-phase signals model. In this way we avoid a reduction in the performance of the FDI system due to the uncertainty in the machine model. Assuming that the three current signals are measured, the proposed FDI system is made of a combination of Kalman filters and statistical change detection and isolation algorithms (CUSUM or Cumulative Sum). The approach is validated by a closed-loop simulation using a squirrel cage induction motor. The latter is controlled by a linear quadratic regulator combined with an extended Kalman filter.
Traditional H∞ design methods available in commercial softwares lead to controllers which present the same order as the model of the plant. Considering the high order of teleoperation systems, implementing such contr...
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ISBN:
(纸本)9781617825583
Traditional H∞ design methods available in commercial softwares lead to controllers which present the same order as the model of the plant. Considering the high order of teleoperation systems, implementing such controllers may require the use of order-reduction methods. To avoid this extra step in the design, we propose to produce fixed-order controllers directly based on a full-order model of the system. In this paper, a zero-order (static output feedback) controller is designed for a teleoperation system. The design procedure, based on a cone complementary formulation is described and applied to a 22nd-order model of the system. The resulting controller is implemented on a one degree of freedom teleoperation system. The experimental results obtained with this simple control structure validate the use of very low order control structures in the case of teleoperation systems with the extra advantage, with respect to conventional H∞ design techniques, that the involved and time-consuming order reduction step is avoided.
The major efforts regarding this analysis, on algorithmic development, and on computations deal with the flow and temperature control and their optimization. This study treats the steady state in order to avoid the un...
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The major efforts regarding this analysis, on algorithmic development, and on computations deal with the flow and temperature control and their optimization. This study treats the steady state in order to avoid the unsteady problems. The paper's analyses, i.e. the numerical analyses, and computations have addressed two important types of controls which are the air flow and the temperature. The principal object of this paper is to control several important characteristics of a chemical process by using an automatic device for optimization and system identification;in each case one intends to control the temperature degrees and the air pressure values in the same time, starting from a mechanical apparatus connected at a computer where there are installed the respective control software;this apparatus gives the possibility to set the temperature values at a specified pressure which can produce cold air.
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