Research on the global energy optimization of multi-source and multi-actuator hydraulic systems based on dynamic programming and improved adaptive genetic algorithm
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a novel multi-algorithm method for optimizing multi-source and multi-actuator hydraulic systems (MSAHSs). The approach significantly enhances energy efficiency and reduces fuel consumption in heavy machinery.
Area Of Science
- Mechanical Engineering
- Hydraulic Systems
- Energy Efficiency
Background
- Multi-source and multi-actuator hydraulic systems (MSAHSs) are crucial for high-power applications but often suffer from low efficiency due to uncoordinated component control.
- This inefficiency leads to environmental pollution and substantial economic losses, necessitating advanced energy-saving solutions.
Purpose Of The Study
- To develop and validate a global power matching method for closed MSAHSs to improve energy efficiency.
- To identify hydraulic pressure as a key factor influencing component efficiency in MSAHSs.
Main Methods
- Established a power consumption model for closed MSAHSs to analyze efficiency factors.
- Proposed a multi-algorithm integration method combining back propagation (BP) neural networks, dynamic programming (DP), and an improved adaptive genetic algorithm (IAGA).
- Utilized BP for efficiency prediction, DP for preliminary high-efficiency zone search, and IAGA for global power matching and optimal control parameter searching.
Main Results
- The multi-algorithm integration method was tested on a hydraulic fracturing vehicle's closed MSAHS.
- Significant improvements in overall system efficiency were observed.
- Achieved up to 35.5% fuel savings under normal operating conditions compared to traditional local power matching control.
Conclusions
- The proposed multi-algorithm integration method effectively achieves global power matching in MSAHSs.
- This approach offers a viable strategy for developing energy-saving and environmentally friendly hydraulic systems.
- The findings demonstrate a substantial reduction in fuel consumption, highlighting the practical benefits of the developed method.
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