The main problem of using a conventional linear damper on a vibration isolation system is that the reduction of the resonant peak inevitably results in the degradation of the high-frequency transmissibility. Instead o...
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ISBN:
(纸本)9781467344883
The main problem of using a conventional linear damper on a vibration isolation system is that the reduction of the resonant peak inevitably results in the degradation of the high-frequency transmissibility. Instead of using semi-active or active control methods which normally depend on the quality of measured signals and may have stability concerns, recent studies have revealed that optimal vibration isolation over a wide frequency range can be achieved by using nonlinear damping. The present study is concerned with the realisation of the ideal nonlinear damping characteristic using a feedback controlled MR damper. Simulation studies are conducted to demonstrate the advantages of a simple but effective control strategy. This research work has signilicant implications for the design of MR dampers and the design of vibration control in a range of engineering applications.
Model Predictive control (MPC) is a powerful tool in the control of large scale chemical processes and has become the standard method for constrained multivariable control problems. Hence, the number of MPC applicatio...
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The aim of this work is to present an entropy-like Lyapunov function based dynamic feedback design technique for quasi-polynomial and Lotka-Volterra systems. It is shown, that the dynamic feedback design problem is eq...
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The aim of this work is to present an entropy-like Lyapunov function based dynamic feedback design technique for quasi-polynomial and Lotka-Volterra systems. It is shown, that the dynamic feedback design problem is equivalent to the feasibility of a bilinear matrix inequality. The problem is also formulated as a control Lyapunov function based feedback design when the Lyapunov function parameters are given, the solution of this problem can be obtained by solving a linear matrix inequality. The developed method is illustrated on a simple numerical example.
Future Internet Networked Enterprise systems demand enhanced collaboration and mobility support. FI technologies are fundamental for increased service differentiation and cost optimisation in manufacturing environment...
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The quality of a model determines the closed loop performance of model predictive controllers. However, identification of high quality multivariable models is a time and energy intensive exercise. The industrial model...
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The quality of a model determines the closed loop performance of model predictive controllers. However, identification of high quality multivariable models is a time and energy intensive exercise. The industrial model predictive controllers are designed using large dimensional multivariable models and they are often identified using ad-hoc single input bump tests. A novel multivariable input design approach is developed using a modified model predictive control objective function. It is shown that the proposed input design approach is trace optimal with respect to the covariance of model parameters. The approach is shown to work well in closed loop on both well and ill-conditioned processes even under model-plant mismatch while meeting input and output constraints.
This paper investigates the performance of a single-phase induction motor (SPIM) drive operated as two-phase motor (TPIM) and controlled basing on fuzzy logic (FL). Because of coupling behavior between fluxes in motor...
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This paper investigates the performance of a single-phase induction motor (SPIM) drive operated as two-phase motor (TPIM) and controlled basing on fuzzy logic (FL). Because of coupling behavior between fluxes in motor, it is still necessary to advance in controller tuning. The applied control strategy proposed in this paper is the vector control based on fuzzy controllers. The application of this control strategy to the single-phase motor operating as two-phase motor increases its dynamic performance and constitutes a contribution to the study of this machine. Indeed, this type of machine has not yet taken its whole share from various works present until now, compared to the three-phase induction machine. The performances of the proposed control; applied to the single-phase induction motor supplied by voltage source inverter; are investigated by simulations under different operating conditions. The obtained results; compared to the traditional control method based on conventional controllers (CC); show the effectiveness and stronger robustness of the control system.
Model Predictive control (MPC) is a powerful tool in the control of large scale chemical processes and has become the standard method for constrained multivariable control problems. Hence, the number of MPC applicatio...
Model Predictive control (MPC) is a powerful tool in the control of large scale chemical processes and has become the standard method for constrained multivariable control problems. Hence, the number of MPC applications is increasing steadily and it is being used in application domains other than petrochemical industries. A common observation by the industrial practitioners is that success of any MPC application requires not only encient initial deployment but also maintenance of initial effectiveness. To this end, we propose a novel high level automated support strategy for MPC systems. Such a strategy consists of components such as performance monitoring, performance diagnosis, least costly closed loop experiment design, re-identification and autotuning. This work presents the novel technological developments in each component and demonstrates them on a distillation column case study. We show that automated support strategy restores nominal performance after a performance drop is detected and takes the right course of action depending on its cause.
In this paper we present a robust and reliable system for interaction with mobile devices using dynamic hand gestures. While other approaches rely on remote computation our system is wearable, lightweight and unobtrus...
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In this paper, we consider the realizability problem of n-port resistive networks containing 2n terminals. A necessary and sufficient condition for any real symmetric matrix to be realizable as the admittance of an n-...
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In this paper, we consider the realizability problem of n-port resistive networks containing 2n terminals. A necessary and sufficient condition for any real symmetric matrix to be realizable as the admittance of an n-port resistive network containing 2n terminals is obtained. The condition is based on the existence of a parameter matrix. We then focus on a three-port resistive network containing six terminals. A necessary and sufficient condition is derived for any real symmetric matrix to be realizable as the admittance of a three-port resistive network containing six terminals and at most five positive elements, whose topological structure is properly restricted.
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