With the continuous increase and development of energy transformation needs, intelligent and sustainable new power systems are rapidly developing. Their complex grid structures and diversified participants lead to the...
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Accelerating the iterative upgrade of mine intelligent equipment provides strong technical support for the construction of smart mines, and at the same time, safe production forces mining enterprises to carry out the ...
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As a key core device for power transmission in the main reducer of a helicopter, the bevel gear set affects the flight performance of the helicopter directly. A nonlinear damage dynamic model of bevel gear set was con...
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On the pharmaceutical automation production line, the application of artificial intelligence technologies such as machine vision can make pharmaceutical production automated and intelligent, improve the quality and ef...
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application verification is a key basic task for ensuring component independence. It involves a series of tests, assessments, and comprehensive evaluations of components before they are applied to equipment, to determ...
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The Employment education network platform because of its convenience its business has been rapid development, too much platform integration and paid knowledge spread also breeds the platform and users and users and us...
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Traditionally, proportional-integral (PI) control has ensured the successful application of automatic generation control (AGC). Two design features of AGC-PI are the following: (1) it is merely a reactive system which...
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ISBN:
(纸本)9798350386509;9798350386493
Traditionally, proportional-integral (PI) control has ensured the successful application of automatic generation control (AGC). Two design features of AGC-PI are the following: (1) it is merely a reactive system which does not take full advantage of existing knowledge about the system and (2) the control signal sent to all units is divided proportionally to their participation in the AGC. These two features ensure simplicity and, thus, reliability for the regular functioning of the power system. However, when the power system is recovering from a loss of generation, such features can become shortcomings. This paper proposes a model predictive control (MPC) to improve performance of AGC in such a scenario. The contrast with the traditional approach is as follows: instead of using merely two system measures which are also the control objectives (frequency and interconnection flow), the proposed controller relies on an internal model that takes advantage of further known variables of the power system, especifically the ramping capabilities of participating units. While still respecting the participation factors, it is shown that the proposed model allows to exhaust earlier the availability of faster units, such as some demand response, as the one to be provided by hydrogen electrolysers, and thus reestablishes the frequency and interconnection flows in a faster way than typical AGC-PI.
The current application software for unmanned aerial vehicle (UAV) flight control systems is mostly developed for specific models, resulting in poor adaptability and portability. This imposes significant workload and ...
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The current application software for unmanned aerial vehicle (UAV) flight control systems is mostly developed for specific models, resulting in poor adaptability and portability. This imposes significant workload and extends the development cycle for UAV systems. To address this issue, a configurable and generic software modular framework is proposed for UAV embedded computing environments. This framework introduces the concept of a software bus layer based on the data producer-consumer business model and middleware. It integrates this layer into the traditional software architecture, creating a universal embedded software architecture for UAV flight control. The functionality of application software in the business application layer of this architecture is analyzed, and a standardization solution is formulated. Following this framework, practical applicationdesigns are developed, and experiments are conducted in a simulated environment to demonstrate the feasibility of the designed configurable generic architecture for UAV flight control systemapplication software.
With the continuous improvement of manufacturing industry requirements for product quality and efficiency, given the separation of part design and development and manufacturing, this paper explores the manufacturabili...
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In this study, we investigated the capability of applying reservoir computing, especially echo state networks (ESNs), to control dynamic systems. To achieve optimal predictive control (OPC) of nonlinear systems, an ES...
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ISBN:
(纸本)9798350325621
In this study, we investigated the capability of applying reservoir computing, especially echo state networks (ESNs), to control dynamic systems. To achieve optimal predictive control (OPC) of nonlinear systems, an ESN was used as the prediction model of the objective plant in a model predictive control approach. We performed computational experiments of the ESN-based OPC to test the tracking tasks of the discrete time nonlinear plant. The simulation results showed that the ESN-based OPC could perform the control task with applicable accuracy, demonstrating the potential application of ESNs for controlling nonlinear systems.
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