通过改进的松鼠算法,研究柴油发动机在负载变化下的转速波动控制
Jun Fu1,2,3, Luchen Lin1, Shuo Gu1
1College of Mechanical and Energy Engineering, Shaoyang University, Shaoyang, China.
PloS one
|August 1, 2025
概括
这项研究引入了一个模糊的比例积分导数 (FPID) 控制器,该控制器通过改进的子搜索算法 (ISSA) 来优化柴油发动机转速控制. 与传统的PID控制器相比,FPID控制器显著减少了超速,并更有效地稳定了速度波动.
科学领域:
- 工程 工程师 工程师 工程师
- 控制系统 控制系统
- 汽车工程 汽车工程
背景情况:
- 柴油发动机的转速控制由于非线性和时间变化的动态而存在挑战.
- 传统的比例积分导数 (PID) 控制器在管理系统响应延迟和超标方面存在局限性.
- 标准PID控制器很难适应复杂的负载变化.
研究的目的:
- 通过使用一种新的控制策略,提高柴油发动机转速控制的适应性.
- 为优化控制器参数开发一个改进的子搜索算法 (ISSA).
- 为了比较拟议的模糊PID (FPID) 控制器与传统PID控制器的性能.
主要方法:
- 一个改进的子搜索算法 (ISSA) 已经开发和验证使用测试函数对汇聚和准确性.
- 使用ISSA调整模糊比例积分导数 (FPID) 控制器的参数.
- 在各种操作条件下,在FPID控制器和传统PID控制器之间进行了实验性比较.
主要成果:
- 与标准算法相比,ISSA证明了加速的融合和更高的准确性.
- 在2000 RPM时,FPID控制器减少了1.4秒的调整时间,并在2000 RPM时超过了6.8%.
- 在负载变化 (8和10) 下,FPID控制器的稳定时间分别减少了18%和30%,波动偏差分别减少了7%和12%.
结论:
- 拟议的FPID控制策略,由ISSA优化,显著提高柴油发动机转速控制性能.
- FPID控制器提供了增强的适应性和稳定性,性能优于传统的PID控制器.
- 这种方法在动态转速波动期间为柴油发动机稳定运行提供了强大的支持.
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