This paper presents a comparison of a differential evolution (DE) algorithm and a modified discrete particle swarm optimization (MDPSO) algorithm for generating optimal preventive maintenance schedules for economical ...
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This paper presents a comparison of a differential evolution (DE) algorithm and a modified discrete particle swarm optimization (MDPSO) algorithm for generating optimal preventive maintenance schedules for economical and reliable operation of a power system, while satisfying system load demand and crew constraints. The DE, an evolutionary technique and an optimization algorithm utilizes the differential information to guide its further search, and can handle mixed integer discrete continuous optimization problems. Discrete particle swarm optimization (DPSO) is known to effectively solve large scale multi-objective optimization problems and has been widely applied in power systems. Both the DE and MDPSO are applied to solve a multi-objective generator maintenance scheduling (GMS) optimization problem. The two algorithms generate feasible and optimal solutions and overcome the limitations of the conventional methods including extensive computational effort, which increases exponentially as the size of the problem increases. The proposed methods are tested, validated and compared on the Nigerian power system.
In this paper, we find the optimum soft antenna selection (SAS) which maximizes the mutual information for the multiple-input multiple-output (MIMO) spatial multiplexing transmission in an interference channel. In thi...
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In this paper, we find the optimum soft antenna selection (SAS) which maximizes the mutual information for the multiple-input multiple-output (MIMO) spatial multiplexing transmission in an interference channel. In this optimization problem, a 2-Dimensional (2D) directive interference model is used. We first find an optimal solution for SAS without applying any constraint on it and then propose a sub-optimal solution for the case when a phase-shift-only passive linear network (PLN) is used to implement the SAS method. Moreover, we compare the performance of the SAS method with a full-complexity MIMO system in the presence of above modeled interference through a simulation study.
A soft antenna selection (SAS) method is basically implemented by a linear network (LN) which is located in RF domain of multiple-input multiple-output (MIMO) systems. In this paper, we find the optimum receiver SAS s...
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A soft antenna selection (SAS) method is basically implemented by a linear network (LN) which is located in RF domain of multiple-input multiple-output (MIMO) systems. In this paper, we find the optimum receiver SAS structure which maximizes the signal to interference-plus-noise ratio (SINR) gain for the diversity transmission in an interference channel. The optimization is applied for two practical cases of transmitters either with or without channel state information. A two-dimensional (2D) directive model is employed to realize the interference effect. A Rician channel model is used for computer simulation. The simulation results show the optimum SAS achieving the performance of the full-complexity MIMO, i.e. a MIMO system with the same number of antenna terminals and RF chains.
Previously, hardware has been developed for the impedance-based structural health monitoring technique. This low power health monitoring prototype utilizes a digital signal processor evaluation board to implement a da...
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ISBN:
(纸本)9781605600666
Previously, hardware has been developed for the impedance-based structural health monitoring technique. This low power health monitoring prototype utilizes a digital signal processor evaluation board to implement a damage detection algorithm. Digital rectangular pulse trains are utilized to excite the structure, and structural response is measured via a digital signal representation. As this scheme for observing structural damage is different from standard impedance measurement methods, the procedure of performing sensor diagnostics will also need to be altered. The research presented in this paper will document efforts to adapt sensor diagnostics for the impedance method to a digital format. Experiments will be used to verify the new sensor diagnostics algorithm, and sensor degradation will be compared with structural deformities.
Climate change caused by anthropogenic greenhouse gas (GHG) emissions such as carbon dioxide (CO 2 ) is now widely accepted as a real condition that has potentially serious consequences for human society and industrie...
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Climate change caused by anthropogenic greenhouse gas (GHG) emissions such as carbon dioxide (CO 2 ) is now widely accepted as a real condition that has potentially serious consequences for human society and industries need to factor this into their strategic plans. One salient planning assumption is that energy - essential for every activity - will become more expensive relative to other inputs. Economic growth does not have to be linked to an increase of GHG emissions and can be attained in addition to the usage of renewable energy sources by using energy efficiency technologies for power system generation, transmission, and distribution. The development of intelligent energy-efficient control technologies will both soften negative effects of the climate change on the economy and enhance energy security. This paper outlines the significant carbon reduction potential with intelligent control and optimization techniques applied to power system generation and transmission systems with and without wind farms.
Teleoperated from a distant location, a mobile robot with some autonomous capabilities can become a beneficial tool in telerehabilitation applications. Safety being of prime concern in such settings, we took special c...
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Teleoperated from a distant location, a mobile robot with some autonomous capabilities can become a beneficial tool in telerehabilitation applications. Safety being of prime concern in such settings, we took special care in coming up with the proper teleoperation interfaces that can provide pertinent information about the system states and conditions (objects, persons, free space, data, etc.) in conjunction with an efficient control system. In order to enhancement operatorpsilas performances we tested our new robot with three modalities of visual information presentation in the teleoperation interfaces, with the use of virtual reality for operator interfaces, in a setup reproducing home like environment.
In this paper, we study the effect of antenna directivity on multi-input-multi-output (MIMO) antenna selection. A 4 orthogonal pattern antenna array platform at the receiver side associated with an antenna selection m...
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In this paper, we study the effect of antenna directivity on multi-input-multi-output (MIMO) antenna selection. A 4 orthogonal pattern antenna array platform at the receiver side associated with an antenna selection mechanism is used in this study. The performance of the proposed method is evaluated for two cases where the antenna selection switches are located either after or before Low Noise Amplifiers (LNA), on a MIMO system under the diversity transmission. The results show how the antenna directivity and switch loss can affect the overall MIMO system performance.
In this paper, the stability analysis and synthesis problems for networked control systems (NCSs) are investigated. By introducing the lifting technique into NCSs, a novel discrete-time switch model is proposed with t...
In this paper, the stability analysis and synthesis problems for networked control systems (NCSs) are investigated. By introducing the lifting technique into NCSs, a novel discrete-time switch model is proposed with the consideration of time delay and packet dropout during the transmission of packets. It describes NCSs as a switch system, and therefore enables us to apply the theory from switch systems to study NCSs in discrete-time domain. In terms of the given model, we give sufficient conditions for the existence of state feedback controller such that the closed-loop NCSs are asymptotically stable. Based on the obtained stability conditions, a homotopy-based iterative LMI algorithm is developed to get the state feedback gain. Simulation results are given to demonstrate the effectiveness of the proposed approaches.
This paper presents a simple yet effective method to design state feedback controller for networked control systems (NCSs). By introducing the lifting technique into NCSs and by considering the balance between effecti...
This paper presents a simple yet effective method to design state feedback controller for networked control systems (NCSs). By introducing the lifting technique into NCSs and by considering the balance between effectiveness and simplicity, a novel discrete-time switch model is proposed with the consideration of time delay and packet dropout during the transmission of packets. In terms of the given model, we give sufficient conditions for the existence of state feedback controller such that the closed-loop NCSs are asymptotically stable. Based on the obtained stability conditions, a homotopy-based iterative LMI algorithm is developed to get the state feedback gain. Simulation and experimental results are given to demonstrate the effectiveness of the proposed approaches.
This video shows the functionalities of a 3 serial DOF robotic arm. Each DOF is actuated with a patent pending differential elastic actuator (DEA) [1,2]. Compared to the abundantly studied series elastic actuator [3,4...
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ISBN:
(纸本)9781424420575
This video shows the functionalities of a 3 serial DOF robotic arm. Each DOF is actuated with a patent pending differential elastic actuator (DEA) [1,2]. Compared to the abundantly studied series elastic actuator [3,4], DEA uses a differential coupling between a high impedance mechanical speed source and a low impedance mechanical spring. Possible implementations of a mechanical differential include the use of a standard gearbox, harmonic drive, cycloidal gearbox, bar mechanism, cable mechanism and all other mechanism that implement a differential function between three mechanical ports. For the implementation reported in this video, we used a harmonic drive for a very compact design. A passive torsion spring (thus the name elastic), with a known impedance characteristic corresponding to the spring stiffness, is used, with an electrical DC brushless motor. A non-turning sensor connected in series with the spring measures the torque output of the actuator.
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