An energy-efficient service-oriented energy supplying system and control for multi-machine in the production line

A large cement factory as an example, according to the requirements of process and control parameters of production line of raw mill, this paper researches and designs the automatic control system of cement raw mill production line based on PCS7 and PROFIBUS. The design of the whole system consists of three levels: field layer, control layer and operation layer which are connected by Ethernet and PROFIBUS implementation, and focus on the design of the feed flow includeing feed composition, feed machine speed loop control etc. Through the on-site operation, the system is stable and reliable, and has good application and promotion effect.

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Model-Based Optimization of Velocity Strategy for Lightweight Electric Racing Cars

Journal of Advanced Transportation ◽

10.1155/2018/3614025 ◽

2018 ◽

Vol 2018 ◽

pp. 1-20 ◽

Cited By ~ 6

Author(s):

Mirosław Targosz ◽

Wojciech Skarka ◽

Piotr Przystałka

Keyword(s):

Numerical Model ◽

Energy Efficient ◽

Atmospheric Conditions ◽

Vehicle Model ◽

Model Based ◽

Race Track ◽

Functional Features ◽

Race Conditions ◽

Vehicle Dynamic Model ◽

And Control

The article presents a method for optimizing driving strategies aimed at minimizing energy consumption while driving. The method was developed for the needs of an electric powered racing vehicle built for the purposes of the Shell Eco-marathon (SEM), the most famous and largest race of energy efficient vehicles. Model-based optimization was used to determine the driving strategy. The numerical model was elaborated in Simulink environment, which includes both the electric vehicle model and the environment, i.e., the race track as well as the vehicle environment and the atmospheric conditions. The vehicle model itself includes vehicle dynamic model, numerical model describing issues concerning resistance of rolling tire, resistance of the propulsion system, aerodynamic phenomena, model of the electric motor, and control system. For the purpose of identifying design and functional features of individual subassemblies and components, numerical and stand tests were carried out. The model itself was tested on the research tracks to tune the model and determine the calculation parameters. The evolutionary algorithms, which are available in the MATLAB Global Optimization Toolbox, were used for optimization. In the race conditions, the model was verified during SEM races in Rotterdam where the race vehicle scored the result consistent with the results of simulation calculations. In the following years, the experience gathered by the team gave us the vice Championship in the SEM 2016 in London.

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A Review of Switched Inertance Hydraulic Converter Technology

BATH/ASME 2018 Symposium on Fluid Power and Motion Control ◽

10.1115/fpmc2018-8829 ◽

2018 ◽

Cited By ~ 2

Author(s):

Chenggang Yuan ◽

Min Pan ◽

Andrew Plummer

Keyword(s):

Power Management ◽

Energy Efficient ◽

Control Strategies ◽

New Technology ◽

High Energy ◽

Management Systems ◽

Hydraulic Power ◽

Controlled Systems ◽

Hydraulic Machines ◽

And Control

Digital hydraulics is a new technology providing an alternative to conventional proportional or servovalve-controlled systems in the area of fluid power. Research is driven by the need for highly energy efficient hydraulic machines but is relatively immature compared to other energy-saving technologies. Digital hydraulic applications, such as digital pumps, digital valves and actuators, switched inertance hydraulic converters (SIHCs) and digital hydraulic power management systems, all promise high energy efficiency. This review introduces the development of SIHCs and evaluates the device configurations, performance and control strategies that are found in current SIHC research, particularly focusing on the work being undertaken in last 15 years. The designs for highspeed switching valves are evaluated, and their advantages and limitations are discussed. This article concludes with some suggestions for the future development of SIHCs.

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Embodied intelligence via learning and evolution

Nature Communications ◽

10.1038/s41467-021-25874-z ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Agrim Gupta ◽

Silvio Savarese ◽

Surya Ganguli ◽

Li Fei-Fei

Keyword(s):

Intelligent Control ◽

Energy Efficient ◽

Large Scale ◽

Complex Environments ◽

Environmental Complexity ◽

Baldwin Effect ◽

Computational Framework ◽

Mechanistic Basis ◽

Embodied Intelligence ◽

And Control

AbstractThe intertwined processes of learning and evolution in complex environmental niches have resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal intelligence are deeply embodied in these evolved morphologies. However, the principles governing relations between environmental complexity, evolved morphology, and the learnability of intelligent control, remain elusive, because performing large-scale in silico experiments on evolution and learning is challenging. Here, we introduce Deep Evolutionary Reinforcement Learning (DERL): a computational framework which can evolve diverse agent morphologies to learn challenging locomotion and manipulation tasks in complex environments. Leveraging DERL we demonstrate several relations between environmental complexity, morphological intelligence and the learnability of control. First, environmental complexity fosters the evolution of morphological intelligence as quantified by the ability of a morphology to facilitate the learning of novel tasks. Second, we demonstrate a morphological Baldwin effect i.e., in our simulations evolution rapidly selects morphologies that learn faster, thereby enabling behaviors learned late in the lifetime of early ancestors to be expressed early in the descendants lifetime. Third, we suggest a mechanistic basis for the above relationships through the evolution of morphologies that are more physically stable and energy efficient, and can therefore facilitate learning and control.

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DESIGN AND CONTROL OF RANGER: AN ENERGY-EFFICIENT, DYNAMIC WALKING ROBOT

Adaptive Mobile Robotics ◽

10.1142/9789814415958_0057 ◽

2012 ◽

pp. 441-448 ◽

Cited By ~ 37

Author(s):

Pranav A. Bhounsule ◽

Jason Cortell ◽

Andy Ruina

Keyword(s):

Energy Efficient ◽

Dynamic Walking ◽

Walking Robot ◽

And Control

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Pathway to Encapsulate Water Quality Models as Cloud Computing Services and Couple with Environmental DSS for Managing Urban River Water Quality

10.5194/egusphere-egu21-8115 ◽

2021 ◽

Author(s):

Tianrui Pang ◽

Jiping Jiang ◽

Fengyuan Zhang ◽

Harsh Yadav ◽

Yunlei Men ◽

...

Keyword(s):

Water Quality ◽

Cloud Computing ◽

Water Quality Management ◽

Urban River ◽

Model Coupling ◽

Computing Services ◽

Service Oriented ◽

Cloud Computing Services ◽

And Control ◽

Water Quality Models

In the era of smart city, developing environmental decision support system (EDSS) integrated with monitoring, modelling, planning and control for smart management of urban river water quality has been widely accepted and implemented around the world. Construction and coupling localized water quality models, such as popular WASP and EFDC by USEPA, to meet different management requirements are fundamental for the surface water EDSS development. However, few reported the technique coupling the advanced version of WASP program with EDSS platform.&#160;Traditional pathway of EDSS integrations or model coupling, e.g. database-oriented interaction, are non-modular, with low efficiency of share and reuse, and difficult for system updating. With the development of cloud computing and web services, the service-oriented design are the future trends of model coupling.In this paper, a generic interface/module interacting with WASP V7.5 program is developed and the technical route of tightly coupling is proposed. The web service encapsulation of localized WASP models and advanced cloud computing services are implemented with the help of OpenGMS framework and SaaS (software as services) pattern. To meet the basic requirements of urban water quality management, the water assimilative capacity allocation and pollution load reduction planning are work out by the cloud computing services, which achieves operational running of EDSS.The study area is located in Maozhou River Basin, an urban river in Shenzhen, China. According to the national water environment code and regulations, COD (chemical oxygen demand) and NH3-N (ammonia nitrogen) are set as the ending point for supervision and the corresponding WASP model of Maozhou River is constructed and calibrated by historical field data. The computing components and web-services are integrated into the comprehensive water quality management platform of Maozhou River through the model configuration and controlling data parameterization. One version of the Maozhou River EDSS has been deployed and is online on the Shenzhen ecological and environmental intelligent management and control center since January, 2021.Along with WASP, service-oriented encapsulating of EFDC and SWMM based computing components for particular management purposes are also implemented based on the same technique route since both of them are developed by USEPA with similar inputs and outputs. The technology of model coupling and platform integration mentioned in this paper provides a valuable paradigm for linking other environment models into specific management business. Under the proposed technical pathway, the interaction of model interface between computation engine and system business layer can be easily updated along with the changes of management requirements. It provides the merits of rapidly development, easily deployment and maintenance.

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