This paper presents a new design methodology of multivariable Smith predictor for stable 2×2 time delay processes based on the centralized inverted decoupling structure. The controller elements are calculated in ...
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This paper presents a new design methodology of multivariable Smith predictor for stable 2×2 time delay processes based on the centralized inverted decoupling structure. The controller elements are calculated in order to achieve good reference tracking and decoupling response, and the obtained general expressions result very simple. The realizability conditions are stated and the particular case of processes with all of its elements as first order plus time delay systems is discussed in more detail. A diagonal filter is added to the proposed control structure in order to improve the disturbance rejection without modifying the nominal set-point response. The methodology is applied to two simulation examples and comparisons with other authors show its effectiveness.
In this paper, the stabilization problem of loaded double inverted pendulum using an optimized state feedback sliding mode control is investigated. ADAMS/Matlab co-simulation environment is used for building a virtual...
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In this paper, the stabilization problem of loaded double inverted pendulum using an optimized state feedback sliding mode control is investigated. ADAMS/Matlab co-simulation environment is used for building a virtual nonlinear model for loaded double inverted pendulum system and the state feedback sliding mode control law is designed for stabilizing the system. Mismatched uncertainties represented by payload variations is considered. Genetic Algorithms are used to optimize the parameters of the sliding mode controller based on a performance index containing the sum of squared errors. The proposed control scheme can significantly suppress chattering effect and improves the performance of the system against uncertainties. Simulation results show the effectiveness of the approach and the robustness of the system against payload changes.
This work presents a novel approach for passivity enforcement of state-space macromodels, based on nonsmooth localization algorithms applied to a convex formulation of the passivity constraints. The main advantages of...
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ISBN:
(纸本)9781479936441
This work presents a novel approach for passivity enforcement of state-space macromodels, based on nonsmooth localization algorithms applied to a convex formulation of the passivity constraints. The main advantages of proposed scheme are guaranteed optimality and limited required computational resources. Compared to convex formulations based on a direct implementation of Bounded Real Lemma we are able to reduce both the memory and time requirements by orders of magnitude.
High Voltage Direct Current (HVDC) lines allow large quantities of power to be transferred between two points in an electrical power system. A Multi-Terminal HVDC (MTDC) grid consists of a meshed network of HVDC lines...
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Power cable problem under the normal operating condition is very important in electric power systems. In practical operation, Various cable faults will happen. Recognizing the cable faults correctly and timely is very...
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Power cable problem under the normal operating condition is very important in electric power systems. In practical operation, Various cable faults will happen. Recognizing the cable faults correctly and timely is very crucial. A method is proposed that an annealed chaotic competitive learning network (ACCLN) recognizes power cable types in this paper. The result shows a better performance than SVM and IPSO-SVM method. The result shows that the fault recognition accuracy reached 96.2% by 54 data test sample data. The network training time is about 0.032 second. The proposed method is applied for the cable fault classification effectively.
Active fault isolation of parametric faults in closed-loop MIMO systems are considered in this paper. The fault isolation consists of two steps. The first step is group-wise fault isolation. Here, a group of faults is...
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We propose a decomposition framework for the parallel optimization of the sum of a differentiable (possibly nonconvex) function and a nonsmooth (separable), convex one. The latter term is usually employed to enforce s...
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We propose a decomposition framework for the parallel optimization of the sum of a differentiable (possibly nonconvex) function and a nonsmooth (separable), convex one. The latter term is usually employed to enforce structure in the solution, typically sparsity. The main contribution of this work is a novel parallel, hybrid random/deterministic decomposition scheme wherein, at each iteration, a subset of (block) variables is updated at the same time by minimizing local convex approximations of the original nonconvex function. To tackle with huge-scale problems, the (block) variables to be updated are chosen according to a mixed random and deterministic procedure, which captures the advantages of both pure deterministic and random update-based schemes. Almost sure convergence of the proposed scheme is established. Numerical results on huge-scale problems show that the proposed algorithm outperforms current schemes.
Presents a collection of slides covering the following topics: microscopic simulation model; air traffic; organized track system; North Atlantic airspace; flight level assignment; track assignment; OTS; fuel consumpti...
Presents a collection of slides covering the following topics: microscopic simulation model; air traffic; organized track system; North Atlantic airspace; flight level assignment; track assignment; OTS; fuel consumption; ATC routine; fuel efficiency; conflicts detection; aircraft simulation; 2D animation; and pilot routine.
This paper presents a new method to estimate rotor position indirectly for 12/8 switched reluctance motor (SRM). In this method, searching windings and main windings are wound on stator together. The structure of sear...
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This paper presents a new method to estimate rotor position indirectly for 12/8 switched reluctance motor (SRM). In this method, searching windings and main windings are wound on stator together. The structure of searching windings is designed to reduce induced voltages caused by main windings. High frequency voltage is applied to searching windings and the position signal is derived from induced high frequency signals. High frequency voltage can be injected from standstill to high speed in this method, thus it can operate in a wide speed range. The proposed method is implemented on a 12/8 SRM and the experimental results demonstrate the validity of this method.
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