Lubricating oil temperature control method based on system model identification of tester
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摘要:
为了解决经典 PID 法和人工在线整定相结合的控制方法,难以实现对控制系统模型实时变化的滑油温度精准控制,本方法在硬件方面采用抗干扰优化设计,精简温控仪和信号通讯,通过 PLC 控制器直接控制固态继电器,有效增强控制系统的鲁棒性;在软件算法方面采取过零脉冲控制法,通过获取表征系统模型变化的特性参数并建立数据库,以模糊控制法在线自动整定控制参数,以实现对滑油温度的自适应控制。试验结果与原控制系统相比,控制目标零超调,调节时间减少46%,增强了系统鲁棒性,有效满足试验要求。
Abstract: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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Key words:
- zero-crossing pulse /
- model characteristic coefficient /
- fuzzy control /
- adaptive control /
- robustness
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表 1 滑油润滑系统试验参数表
Table 1. Lubricating oil lubrication system test parameter table
设定流量/
(L/min)设定
温度/℃实测流量/
(L/min)实测
温度/℃供油
压力/MPa调温
时间/min8.0 70 7.99 70.5 0.412 5 8.0 80 80.4 0.410 4 8.0 120 120.6 0.362 8 8.0 150 150.5 0.342 7 8.0 120 120.2 0.363 6 8.0 80 80.3 0.412 10 表 2 系统改变前后的性能指标对比
Table 2. Comparison of indicators before and after system change
控制方法 调节时间/min 振荡次数 超调量/% 自适应PID控制 7 0 0 经典PID控制 13 1 6.3 -
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