Self-Learning Tiltrotator Pressure Control for Lower Energy Loss
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Solution Overview
Problem
The variability and unpredictability of forces encountered by construction machine tiltrotators make it difficult to accurately control hydraulic pressure, leading to excessive energy usage and unwanted wear on components due to uncertainties in hydraulic pressure generation.
Innovation Solution
A tiltrotator control system with a self-learning system that adjusts hydraulic pressure generation based on incoming and load pressure values, using a sensor arrangement and a control device with an adaptive algorithm to optimize hydraulic fluid flow for efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If excessive hydraulic pressure is applied to overcome uncertainties in force or variations in pressure generation capacity, then the tiltrotator can reliably overcome encountered forces, but energy usage increases excessively and wear on sub-components increases
Solution Approach 1:
The system uses a sensor arrangement to measure the actual hydraulic pressure and compares it with the desired pressure. The control device receives this feedback and adjusts the hydraulic pump's operation accordingly, using a self-learning system that adapts to the specific hydraulic pump characteristics. This closed-loop control ensures reliable tiltrotator performance while minimizing excessive energy consumption by adjusting pressure only to the level needed.
Solution Approach 2:
The control system dynamically adjusts hydraulic pressure parameters based on actual operating conditions and learned pump characteristics. By changing pressure parameters adaptively rather than maintaining a fixed high pressure, the system achieves reliable performance while reducing energy loss and component wear.
2Reliability
If excessive hydraulic pressure is applied to overcome uncertainties in force or variations in pressure generation capacity, then the tiltrotator can reliably overcome encountered forces, but wear on sub-components increases
Solution Approach 1:
The feedback control system monitors actual hydraulic pressure and adjusts the pump output to match desired pressure levels, avoiding excessive pressure that would cause component wear. The self-learning system adapts to pump variations, ensuring reliable performance without subjecting sub-components to unnecessary stress and wear.
Solution Approach 2:
The system dynamically changes hydraulic pressure parameters based on actual conditions and learned characteristics, maintaining pressure within optimal ranges that ensure reliability while minimizing harmful wear on sub-components.
3Ease of operation
If a fixed hydraulic pressure generation capacity is used, then the system is simple to control, but it cannot adapt to variations in pump characteristics or unexpected force variations
Solution Approach 1:
The control system performs self-adjustment through its self-learning capability. The sensor arrangement provides feedback on actual pressure and pump performance, and the control device automatically adapts to pump variations without requiring manual intervention. This maintains ease of operation while achieving high adaptability to pump characteristics and operating conditions.
Solution Approach 2:
The feedback mechanism enables the system to automatically adapt to variations in pump characteristics and operating conditions. The control device receives pressure measurements and adjusts operation accordingly, providing both ease of operation and adaptability without requiring complex manual control.
4Reliability
If the hydraulic pump operates at high pressure to ensure performance under all conditions, then performance reliability is improved, but energy efficiency deteriorates
Solution Approach 1:
The feedback control system measures actual hydraulic pressure and adjusts pump operation to maintain only the necessary pressure level for reliable performance. The self-learning system adapts to pump characteristics, ensuring that energy is consumed only to the extent needed for reliable operation, avoiding unnecessary energy waste from maintaining excessively high pressure.
Solution Approach 2:
The system dynamically changes hydraulic pressure parameters based on actual operating conditions and learned pump characteristics, maintaining pressure at optimal levels that ensure performance reliability while minimizing energy consumption.
Data Source
Figure 1~2
Figure 3~4
Figure 5a~5b
AI summary
A tiltrotator control system (100) for controlling a hydraulic pressure generation system of a construction machine which hydraulic pressure generation system provides hydraulic fluid flow to a tiltrotator mounted at the construction machine. The tiltrotator control system (100) comprises a sensor arrangement (110) arranged to measure an incoming pressure value (PI) of hydraulic fluid pressurized by the hydraulic pressure generation system (210) which hydraulic fluid is incoming to a hydraulic drive device (310) of a tiltrotator (300) mounted on the construction machine (200). The sensor arrangement is further arranged to measure a load pressure value PL of hydraulic fluid pressurized by the hydraulic drive device (310) for driving at least rotational and/or tilting movements of the tiltrotator (300), and to transmit the incoming pressure value (PI) and the load pressure value (PL). The tiltrotator control system (100) further comprises a control device (120) arranged to receive the incoming pressure value (PI) and the load pressure value (PL) from the sensor arrangement (110), wherein the control device (120) comprises a selflearning system (122) which is arranged to produce, based on at least the incoming pressure value (PI) and the load pressure value (PL), a control value (a) and to output the control value (a) to control the hydraulic pressure generation system (210).