| 基于IPSO-BP算法的燃油系统气压控制优化 |
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| 引用本文： | 张永贤,邰万文,陈杨谨瑜,李伟.基于IPSO-BP算法的燃油系统气压控制优化[J].液压与气动,2021,0(5):91-97. |
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| 作者姓名： | 张永贤 邰万文 陈杨谨瑜 李伟 |
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| 作者单位： | 华东交通大学电气与自动化工程学院, 江西南昌 330013 |
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| 基金项目： | 国家自然科学基金(61763012) |
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| 摘 要： | 针对燃油系统地面模拟试验气箱压力控制所存在的非线性、时变性问题,提出了一种基于改进粒子群算法(IPSO)优化的BP-PID控制器。该控制器结合改进粒子群算法全局搜索能力强和收敛速度快的特点,对BP神经网络的连接权值不断地调整,输出最优的PID控制参数。依据地面模拟试验参数,建立了主要器件的数学模型,利用Simulink软件对各器件的仿真模块进行搭建,构成一个完整的气箱控制系统进行研究。结果表明,IPSO-BP-PID控制比BP-PID控制响应速度快,稳定性好,超调量小,大大提高了气箱压力控制过程的精确性与鲁棒性。
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| 关 键 词： | 燃油系统 气箱压力控制 BP神经网络 粒子群优化算法 PID控制 |
| 收稿时间： | 2020-10-12 |
Optimization of Gas Pressure Control of Fuel System Based on IPSO-BP Algorithm |
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| ZHANG Yong-xian,TAI Wan-wen,CHEN Yang-jin-yu,LI Wei.Optimization of Gas Pressure Control of Fuel System Based on IPSO-BP Algorithm[J].Chinese Hydraulics & Pneumatics,2021,0(5):91-97. |
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| Authors: | ZHANG Yong-xian TAI Wan-wen CHEN Yang-jin-yu LI Wei |
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| Affiliation: | School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, Jiangxi 330013 |
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| Abstract: | Aiming at the non-linear and time-varying problems existed in the gas tank pressure control of fuel system analogue experiment on ground, a optimized BP-PID controller based on improved particle swarm optimization (IPSO) algorithm is proposed. The controller constantly adjusts the connection weights of BP neutral network with the characteristics of strong global search ability and fast convergence by IPSO algorithm, and outputs the optimal parameters of PID control. According to the parameters of analogue experiment on ground, the mathematical models of the main components are established, Simulink software is used to build the simulation modules of each component and form a complete gas tank control system to research. The results show that IPSO-BP-PID control has faster response speed, better stability and smaller overshoot than BP-PID control, the controller can greatly improve the accuracy, robustness in the gas tank pressure control. |
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| Keywords: | fuel system pressure control of gas tank BP neutral network PSO algorithm PID control |
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