New Pressure Regulator Suction Pressure Valve Control Valve 0 281 006 405 0281006405 for Auto Spare Parts

Pressure relief valves play a vital role in hydraulic and fuel systems by maintaining pressure stability and protecting components from overload. Traditional pressure relief valves rely on fixed spring stiffness and preset opening pressure, which limits their adaptability under varying operating conditions. To improve dynamic response and control flexibility, this study proposes an intelligent pressure relief valve regulation strategy based on fuzzy control theory.

The core idea of the proposed strategy is to replace conventional fixed-parameter regulation with a rule-based fuzzy controller capable of adjusting valve behavior in real time. Pressure deviation and pressure change rate are selected as the main input variables of the fuzzy controller, reflecting both steady-state error and transient pressure fluctuations. The control output is defined as the valve actuation adjustment, such as electromagnetic force or pilot valve opening degree.

A dynamic model of the intelligent pressure relief valve is established, incorporating fluid dynamics, valve spool motion, and actuator response. The fuzzy control rules are designed based on expert knowledge and system behavior analysis, allowing nonlinear mapping between pressure states and control actions. This approach avoids reliance on precise mathematical models, making it suitable for systems with strong nonlinearity and parameter uncertainty.

Simulation results demonstrate that the fuzzy-controlled pressure relief valve exhibits significantly improved dynamic performance compared with traditional mechanical regulation. Under sudden load changes, the valve responds more rapidly, reducing pressure overshoot and shortening settling time. In addition, pressure oscillations caused by flow disturbances are effectively suppressed, leading to smoother pressure regulation.

To evaluate robustness, the system is tested under different operating conditions, including variable flow rates and oil temperatures. The fuzzy control strategy maintains stable pressure regulation performance without the need for parameter retuning, highlighting its adaptability. Compared with conventional proportional control, the fuzzy-controlled valve shows better tolerance to external disturbances and modeling inaccuracies.

From an engineering perspective, the proposed strategy can be implemented using compact electronic control units and standard pressure sensors, enabling integration into existing hydraulic or fuel systems. The intelligent pressure relief valve not only enhances system safety but also contributes to energy efficiency by minimizing unnecessary pressure losses.

In conclusion, fuzzy control provides an effective solution for the dynamic regulation of intelligent pressure relief valves. By combining real-time pressure feedback with adaptive control logic, the proposed strategy improves response speed, stability, and robustness, offering strong potential for advanced hydraulic and fuel pressure control applications.