| Citation: | ZHAO Shuai. Lubricating oil temperature control method based on system model identification of tester[J]. Journal of Aerospace Power, 2025, 40（2）：20240580 doi: 10.13224/j.cnki.jasp.20240580
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In order to address the difficulty of achieving precise control of lubricating oil temperature in a control system with real-time model changes using a combination of the classic PID method and manual online tuning, an anti-interference optimization design in hardware wad adopted. It simplified the temperature controller and signal communication, and directly controlled the solid-state relay through a PLC controller, effectively enhancing the robustness of the control system. In terms of software algorithms, the zero-crossing pulse control method was employed. By acquiring characteristic parameters representing changes in the system model and establishing a database, the fuzzy control method was used to automatically tune the control parameters online, enabling adaptive control of lubricating oil temperature. Compared with the original control system, the experimental results showed zero overshoot of the control target, a 46% reduction in adjustment time, and enhanced system robustness with effective satisfaction of test requirements.
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