Pneumatic Pressure Control Using Adaptive Valve Timing Matrix
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Solution Overview
Problem
Current pneumatic pressure control systems in railway braking systems are asymmetrical and strongly non-linear, leading to instability and high maintenance costs due to the need for wide tolerance bands in bang-bang control and high sampling frequencies in PID control, while Fuzzy Logic requires extensive parameterization and complex tuning.
Innovation Solution
A method and system that use a matrix to store and adjust opening times for electropneumatic charge and discharge valves based on current pressure characteristics, continuously correcting errors and allowing for real-time diagnosis to maintain accuracy and reduce valve excitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If bang-bang control with wide tolerance bands is used, then stability is improved, but manufacturing precision deteriorates
Solution Approach 1:
The control system dynamically adapts the tolerance band width based on the current operating conditions and pressure deviations. The tolerance band is not fixed but varies dynamically to maintain both stability and precision, expanding when stability is needed and contracting when precision is required.
Solution Approach 2:
The system changes the control parameters (tolerance band width) based on the system state and operating conditions. By adjusting the tolerance band parameter dynamically, the system resolves the contradiction between needing wide bands for stability and narrow bands for precision.
2Manufacturing precision
If PID control with high sampling frequencies is used, then manufacturing precision is improved, but device complexity deteriorates
Solution Approach 1:
The sampling frequency is adjusted dynamically based on the system state rather than maintaining a constantly high frequency. The system uses adaptive sampling that increases frequency when precision is critical and reduces it when the system is stable, thereby reducing overall complexity while maintaining precision when needed.
Solution Approach 2:
The control parameters including sampling frequency are changed adaptively based on operating conditions. This parameter adaptation allows the system to achieve high precision when necessary without the continuous complexity of high-frequency sampling in all operating modes.
3Adaptability or versatility
If Fuzzy Logic control is used, then adaptability is improved, but device complexity deteriorates
Solution Approach 1:
The control system uses dynamic adaptation of control parameters based on real-time system state rather than extensive static parameterization. This dynamic approach provides adaptability without requiring the complex fuzzy logic rule bases and extensive parameter tuning that characterize traditional fuzzy logic systems.
4Manufacturing precision
If continuous valve excitations are used, then manufacturing precision is improved, but loss of energy deteriorates
Solution Approach 1:
Instead of continuous valve excitation, the system uses periodic or pulsed valve actuation with adaptive timing. The valves are excited only when necessary to maintain precision, with the excitation frequency and duration adapted based on system state, thereby reducing energy consumption while preserving control precision.
Solution Approach 2:
The valve excitation pattern is dynamically adapted based on system conditions. The system uses minimal excitation when the system is stable and increases excitation only when precision corrections are needed, optimizing the balance between precision and energy consumption.
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 adapts to physical and fluid-dynamic changes, maintaining accuracy and reducing maintenance costs by minimizing valve excitations and enabling overall system diagnosis without detailed component diagnostics.
Implementation Method 1
A source 102 delivers a gas with a supply pressure Ps to supply an electropneumatic charge valve 103 provided to allow or prevent the access of the gas in the volume 101
Implementation Method 2
An electropneumatic discharge valve 104 is provided to allow or prevent the ejection of the gas from the volume 101 into the atmosphere
Implementation Method 3
measuring the pressure value reached inside the volume 101
Data Source
AI summary
A method is described for controlling pneumatic pressure by actuating a charge and a discharge valve that vary the pressure, comprising, providing a matrix wherein each cell indicates a time for opening the charge or discharge valve; if the initial pressure value in the volume is less than the target pressure value to be reached, opening the charge valve, decreasing the value of the opening time indicated in the selected cell if the pressure value in the volume exceeds the target pressure value and possibly increasing the value of the time indicated in the selected cell; if the initial pressure value in the volume is greater than the target pressure value, opening the one discharge valve for the time indicated in a selected cell and possibly increasing the time value indicated in the selected cell and possibly decreasing the time value indicated in the selected cell.