Dynamic Solenoid Gain Control for Electro-Hydraulic Valve Stability
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Solution Overview
Problem
Conventional electro-hydraulic systems for automatic transmissions face instability and slow response due to fixed gain constants, which do not adapt well to varying environmental conditions and different hardware configurations, affecting the dynamic response of solenoid-operated fluid valves.
Innovation Solution
A method for dynamically adjusting control gain constants based on operating parameters like oil temperature and battery voltage, using a model of the solenoid and drive circuit dynamics to improve transient response and adapt to different hardware configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If fixed gain constants are used in conventional electro-hydraulic systems, then the system structure remains simple, but the dynamic response becomes slow and instability occurs under varying environmental conditions
Solution Approach 1:
The patent implements dynamic adjustment of control parameters by continuously monitoring operating conditions (temperature, voltage) and recalculating gain constants in real-time based on measured values, transforming the static control system into a dynamic adaptive system that optimizes response speed under varying conditions
Solution Approach 2:
The system changes control parameters (gain constants) based on operating conditions by measuring temperature and voltage, then adjusting the proportional and integral gain values according to pre-stored calibration data corresponding to different operating conditions, thereby maintaining optimal dynamic response across varying environments
2Reliability
If conventional PI control with fixed gains is used, then the control strategy remains simple, but stability and response performance deteriorate under different hardware configurations
Solution Approach 1:
The system adjusts control parameters (proportional and integral gain constants) based on measured operating conditions by selecting pre-calibrated values from stored data corresponding to different temperature and voltage conditions, ensuring stable and reliable control performance across varying hardware configurations and environmental conditions
Solution Approach 2:
The system continuously measures operating conditions (temperature, voltage) and uses this feedback to dynamically select appropriate gain constants, creating a closed-loop adaptive control mechanism that maintains system stability under varying conditions without requiring complex real-time optimization algorithms
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides improved dynamic response and stability across a wide range of operating conditions, allowing for easy adaptation to various hardware configurations by dynamically calculating solenoid control currents, enhancing the overall performance of solenoid-operated fluid valves.
Implementation Method 1
electrical signals that control solenoids resulting in the control of fluid flow as well as the pressure in a hydraulic fluid line
Data Source
AI summary
A method is described for controlling a solenoid-operated fluid valve having an output hydraulic pressure that varies in accordance with an input solenoid control current delivered from a drive circuit. A model is provided characterizing the plant dynamics of the solenoid-operated fluid valve and the drive circuit where the model is dependent on at least one operating parameter. The method, during operation, involves measuring the value of the operating parameter and adjusting based on the measured operating parameter value one or more gain constants to be used in a selected control strategy. The model is used in adjusting the gains. Finally, the method involves determining a required solenoid control current according to the control strategy with the now dynamically-adjusted gain constants. The control strategy may be a PI control strategy. The model-based system allows easy migration of the general control strategy to different hardware configurations by developing target system specific data for the model.