Method for adjusting a pressure medium supply for at least one hydraulic actuator, and hydraulic system
A knowledge-based decision system optimizes hydraulic actuator operations by setting speed and displacement volume setpoints, addressing energy consumption and dynamic behavior challenges in hydraulic systems.
Patent Information
- Application Number
- EP2024714162
- Authority / Receiving Office
- EP · EP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2023-03-22
- Filing Date
- 2024-03-20
- Publication Date
- 2025-07-23
- Estimated Expiration
- 2044-03-20
AI Technical Summary
Existing hydraulic systems face challenges in optimizing energy consumption and dynamic behavior due to the complexity of operating systems with adjustable displacement units and variable-speed drives, and existing optimization methods require additional system parameters.
Implementing a knowledge-based decision system, such as fuzzy logic or a neural network, to set speed and displacement volume setpoints, optimizing these parameters based on expert knowledge, simulations, and experiments to improve energy consumption and dynamic behavior.
The method enhances energy efficiency and improves dynamic performance by optimizing speed and displacement volume adjustments using a knowledge-based system, reducing energy consumption and enhancing system responsiveness.
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Abstract
Citation Information
Patent Citations
Intelligent control system and method for bivariate electro-hydrostatic actuator
CN112196843A