Energy storage and reutilization for a single-rod electro-hydrostatic actuator system
Bibliographic record
Abstract
Single-rod electro-hydrostatic actuator (EHA) systems have higher efficiencies when compared to conventional valve-controlled systems. However, increasing demands for energy resources, declining fossil fuels and increasing greenhouse gas emissions require the development of technologies that can further improve the system efficiency. Studies have been conducted to investigate the energy consumption in EHA systems and possible ways of decreasing the waste of otherwise useful input power; for instance, the possibility of reusing gravitational potential energy from the load. In this thesis, a recently developed EHA in the Fluid Power and the Tele-Robotics research lab at the University of Manitoba is built upon to improve the energetic efficiency. The existing test rig consists of a single-rod cylinder, with a swinging mass attached to the tip of its rod, in a way that four quadrants of operation are duly covered. It is identified that at motoring operations, the inertial load, driven by the cylinder, is decelerated by the pump. As a result, potential energy stored at the moving mass is simply wasted, in the form of heat. To overcome this, a novel Energy Storage and Reutilization (ESR) system is designed and prototyped to capture and reuse the potential energy of the load. This new ESR system employs a hydraulic accumulator as the energy storage component. The stored energy is later used to help the pump drive the cylinder. The proposed design is cost-effective, easy to implement, and requires a simple algorithm to be matched to the existing EHA. The effectiveness of the ESR system has been experimentally demonstrated, where a 20% improvement in the energetic efficiency has been obtained, when compared to the existing EHA. The new design is promising and as will be shown in this thesis, there is considerable room for further developments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".