Velocity control of single-rod hydrostatic actuators: component sizing and controller design
Bibliographic record
Abstract
Pump-controlled hydraulic actuation of single-rod actuators is more challenging than double-rod actuators due to difference in areas on two sides of single-rod actuators and a need to compensate for differential flow. The performance of a single-rod pump-controlled hydraulic circuit can be significantly affected by variations in load, velocity and circuit design. Designing a simple-to-implement velocity controller for such hydraulic configurations is challenging under these conditions. This thesis presents velocity control of two typical hydraulic circuits; one is commonly used while the other is a novel design. Two issues involved are controller design and component sizing. The design of velocity controllers is based on Quantitative Feedback Theory (QFT) as the design criteria are graphically illustrated for whole range of plant uncertainties in this design procedure. In order to design QFT controllers for closed-loop velocity control of pump-controlled single-rod hydraulic actuators, smooth open loop performance of hydraulic circuit becomes important. Hence component sizing, i.e., choosing optimal hydraulic components and having an optimal hydraulic design becomes necessary. Hence, a methodology to choose hydraulic components and hence improve system performance is proposed. First, a mathematical model of hydraulic circuit is developed, which is later used in simulations. Next, initial values of selected parameters of circuit components (pilot operated check valves and counterbalance valves) to be used in system are chosen based on manufacturer’s specifications, experimental data and conservative judgement. This is followed by choosing few parameters which need to be optimised. Next, an optimisation algorithm is used on the simulation model to optimize parameters chosen based on an optimization criteria. In optimization, particle swarm optimization (PSO) and modified Nelder-Mead (MNM) algorithms are used to obtain smooth, least jerky system performance. Next QFT Controllers are designed based on uncertainties found where families of transfer functions are to be obtained. For this purpose, system identification is used in order to obtain frequency responses from measured data and hence uncertainties. All the development reported in this research is experimentally validated. First hydraulic circuit is a commonly used circuit incorporating pilot-operated check valves, while as the second novel circuit uses counterbalance valves.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".