As the core component of hydraulic control system, servo valve’s performance directly affects the control accuracy and response speed of the whole system. With the increasing demand for automation and high-precision control in modern industry, the design and optimization of servo valves are facing higher challenges. Traditional design methods often rely on physical experiments and empirical formulas, which have problems such as high cost and long cycle. Therefore, the mechanical system analysis of servo valve by collaborative simulation method has become the focus of current research.
The so-called collaborative simulation refers to the joint operation of different simulation tools and models in a multi-field and multi-physical field environment to achieve accurate prediction of the overall behavior of complex systems. For servo valve, its working process involves the coupling of many disciplines such as fluid mechanics, structural mechanics and electromagnetism, and it is often difficult to describe its dynamic characteristics comprehensively with a single simulation tool. Through collaborative simulation technology, fluid dynamics simulation software (such as ANSYS Fluent or AMESim), multi-body dynamics simulation tools (such as ADAMS) and control system simulation platform (such as MATLAB/Simulink) can be jointly simulated, so as to realize the whole process modeling and analysis from spool movement, fluid flow to control signal response.
Firstly, in the collaborative simulation of servo valves, it is necessary to build an accurate three-dimensional fluid model. CFD (computational fluid dynamics) software is used to simulate the pressure and flow distribution of the fluid in the valve and its hydrodynamic influence on the valve core, which provides boundary conditions for the dynamic response of the subsequent mechanical structure. Secondly, the mechanical models of key components such as valve core, spring and electromagnetic coil are established by using multi-body dynamics software, and their dynamic response characteristics such as displacement and acceleration under the action of hydraulic force and control signals are studied. Finally, PID controller or other advanced control algorithm is designed by control system simulation tools, and real-time interaction with the above model is formed to form a collaborative simulation environment of closed-loop control system.
Collaborative simulation technology not only improves the efficiency of servo valve research and development, but also can more accurately predict its performance under different working conditions, thus optimizing structural design, control strategy and material selection. In addition, it also helps to find potential coupling problems in the system, such as hydraulic shock and response delay, and improves the stability and reliability of the system.
To sum up, the collaborative simulation of servo valve mechanical system is an efficient and accurate design method. It combines the advantages of multidisciplinary simulation technology, which is helpful to promote the development of servo valve in the direction of high performance and intelligence, and provides strong support for the technical progress of modern hydraulic control system.