| 杨辉跃,涂亚庆,彭钰钦.科氏流量计仿人智能控制器参数的量子遗传优化[J].电子测量与仪器学报,2020,34(7):112-118 |
| 科氏流量计仿人智能控制器参数的量子遗传优化 |
| Parameters optimization of human-simulated intelligent controller for Coriolis mass flowmeter based on quantum genetic algorithm |
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| DOI： |
| 中文关键词: 科氏流量计 智能控制 仿人智能控制 量子遗传算法 |
| 英文关键词:Coriolis mass flowmeter intelligent control human-simulated intelligent control quantum genetic algorithm |
| 基金项目:国家重点研发计划(2018YFB2003900)、国家自然科学基金(61871402)、重庆市自然科学基金(cstc 2019jcyj-msxmX0245)、重点学科建设项目资助 |
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| 中文摘要: |
| 设计的科氏流量计仿人智能振幅控制器根据振幅偏差及其变化率将振动过程划分为 8 种特征状态,利用启发式搜索和
直觉推理,分别设计相应的控制模态,从而实现振动控制;针对控制器中振动特征状态识别参数与控制模态参数较多且不易设
置的问题,采用量子遗传优化算法实现控制器参数优化,给出了优化原理、优化流程和实现步骤,并进行实验验证。 结果表明,
参数优化后仿人智能控制器起振时间较优化前减少约 0. 1 s、较 PID 控制减少约 0. 6 s,且振幅稳定,验证了方法性能。 |
| 英文摘要: |
| According to the amplitude deviation and its rate of change, the vibration process is divided into eight characteristic states,
and the corresponding control modes are designed by using Heuristic and intuitionistic reasoning respectively. In order to solve the
problem that the vibration characteristic state identification parameters and the control modal parameters are too many and not easy to set,
the quantum genetic algorithm is used to optimize the controller parameters. The optimization principle, optimization flow chart and
realization steps are given, and the experimental verification is carried out. The results show that the HSIC controller with optimized
parameters can reduce the starting time by 0. 1 and 0. 6 s compared with PID controller, and its amplitude is stable, which proves the
performance of the method. |
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