This paper contains a report on a long series of theoretical and experimental activities aiming to create a new type of electro hydraulic digital speed governor for hydraulic KAPLAN turbines. Computational methods, co...
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Tensegrity robots, composed of rigid rods and flexible cables, exhibit high strength-to-weight ratios and significant deformations, which enable them to navigate unstructured terrains and survive harsh impacts. They a...
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ISBN:
(纸本)9781665491907
Tensegrity robots, composed of rigid rods and flexible cables, exhibit high strength-to-weight ratios and significant deformations, which enable them to navigate unstructured terrains and survive harsh impacts. They are hard to control, however, due to high dimensionality, complex dynamics, and a coupled architecture. Physics-based simulation is a promising avenue for developing locomotion policies that can be transferred to real robots. Nevertheless, modeling tensegrity robots is a complex task due to a substantial sim2real gap. To address this issue, this paper describes a Real2Sim2Real (R2S2R) strategy for tensegrity robots. This strategy is based on a differentiable physics engine that can be trained given limited data from a real robot. These data include offline measurements of physical properties, such as mass and geometry for various robot components, and the observation of a trajectory using a random control policy. With the data from the real robot, the engine can be iteratively refined and used to discover locomotion policies that are directly transferable to the real robot. Beyond the R2S2R pipeline, key contributions of this work include computing non-zero gradients at contact points, a loss function for matching tensegrity locomotion gaits, and a trajectory segmentation technique that avoids conflicts in gradient evaluation during training. Multiple iterations of the R2S2R process are demonstrated and evaluated on a real 3-bar tensegrity robot.
In the process industries, it's hard to control a non-linear process. Nonlinear behavior is frequently seen in real processes. The challenging problem of controlling a spherical tank is result of its nonlinearity ...
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The Oil and Gas industry is facing complex challenges including spiralling exploration and development costs, aging assets, long lead times on equipment, shortage of skilled people, among others. As such, it is impera...
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ISBN:
(纸本)9780791888018
The Oil and Gas industry is facing complex challenges including spiralling exploration and development costs, aging assets, long lead times on equipment, shortage of skilled people, among others. As such, it is imperative existing assets are operated efficiently and properly maintained to maximise production. A typical approach to achieve this objective considers industry best practices, international standards, manufacturer recommendations and condition monitoring techniques such as oil analysis, vibration, thermography, ultrasound, etc. However, the advent of Industry 4.0 has promoted the development and adoption of advanced techniques: a prominent example being the Digital-Twin concept. A Digital-Twin is a virtual model developed using advanced modelling and data handling techniques to replicate and predict the behaviour of individual equipment or entire production systems. A Digital-Twin approach can deliver predictive monitoring capabilities;analysis of complexsystems;define solutions to operational issues;virtual testing and confirmation of proposed modifications;etc. This paper presents the development of a Digital-Twin for troubleshooting and operations optimisation of a motor-driven three-stage gas-lift compression system with a long history of unstable operation, recurrent emergency shutdown events and low availability. The multidisciplinary approach includes analysis of the control system architecture, assessment of field instrumentation, data validation, performance benchmarking, dynamic modelling and off-line control system testing. A cost-effective solution with only minor software modifications was designed, tested and demonstrated before its implementation. The successful outcome of the project reduced the need for constant operator intervention, reduced emergency shutdown events, increased availability of the gas compression system from 86% to 98.2%, reduced gas imports, increased gas exports and enhanced oil production.
A numerical solution to a problem of the wave scattering by a medium with a set of small inclusions is studied under asymptotic assumption. The boundary impedance conditions are given on the boundaries of inclusions. ...
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ISBN:
(纸本)9798350310856
A numerical solution to a problem of the wave scattering by a medium with a set of small inclusions is studied under asymptotic assumption. The boundary impedance conditions are given on the boundaries of inclusions. The numerical data show that the characteristics of illumination of the medium with embedded inclusions differ from those that characterize the material free of such inhomogeneities. The above makes possible to simulate numerically the materials with the specific material parameters.
The paper describes a method for synthesizing robust controlsystems for autonomous underwater vehicle-manipulator systems, which allow for high-precision movement of them along complex spatial trajectories and their ...
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As soft robotic systems become increasingly complex, there is a need to develop sensory systems which can provide rich state information to the robot for feedback control. Multi-axis force sensing and control is one o...
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ISBN:
(纸本)9798350323658
As soft robotic systems become increasingly complex, there is a need to develop sensory systems which can provide rich state information to the robot for feedback control. Multi-axis force sensing and control is one of the less explored problems in this domain. There are numerous challenges in the development of a multi-axis soft sensor: from the design and fabrication to the data processing and modelling. This work presents the design and development of a novel multi-axis soft sensor using a gelatin-based ionic hydrogel and 3D printing technology. A learning-based modelling approach coupled with sensor redundancy is developed to model the environmentally dependent soft sensors. Numerous real-time experiments are conducted to test the performance of the sensor and its applicability in closed-loop control tasks at 20 Hz. Our results indicate that the soft sensor can predict force values and orientation angle within 4% and 7% of their total range, respectively.
The concentrated solar power (CSP) system integrated with supercritical carbon dioxide (sCO2) Brayton cycle is considered as the major development trend of clean energy technology in mitigating climate change and prom...
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The concentrated solar power (CSP) system integrated with supercritical carbon dioxide (sCO2) Brayton cycle is considered as the major development trend of clean energy technology in mitigating climate change and promoting sustainable energy owing to its more compact structure, higher efficiency and lower cost. While the system integration and control are more complex because the thermal energy storage and heat exchange units are obliged to be provided with capacity and property matching with sCO2 compression and expansion units. Therefore, there is an urgent need for the whole system modeling and dynamic simulation of sCO2-CSP plants. In the paper, running logic of the integrated system is determined and novel system dynamic simulation platform is built. Moreover, for the sake of optimizing the system design, different control strategies are further studied. When the extremum-seeking control strategy is used, the average daily generating capacity of the system is 2.06% higher than that of the traditional fixed inventory control strategy;and when iterative learning control strategy is used, the average daily generating capacity of the system is 2.15% higher than that of the traditional fixed inventory control strategy. The progress of the technology will promote the development of new power systems and early realization of carbon neutrality.(c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).
The combined method of estimation labor cost based on the analysis of literature on the topic of labor cost estimation, including modern approaches and those that were used before the intensification of IT technology ...
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We consider sparse optimal controlproblems with elliptic PDE constraints and L1 -control cost in this paper. Inspired by the outstanding performance of the multi-level heterogeneous alternating direction method of mu...
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