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新疆大学智能制造现代产业学院
Published:2024
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[1]石俊超,郑威强,张立萍,等.基于改进型Smith预估算法的EC值调控系统仿真与分析[J].新疆大学学报(自然科学版中英文),2024,41(06):756-763.
[1]石俊超,郑威强,张立萍,等.基于改进型Smith预估算法的EC值调控系统仿真与分析[J].新疆大学学报(自然科学版中英文),2024,41(06):756-763. DOI: 10.13568/j.cnki.651094.651316.2023.09.20.0003.
DOI:10.13568/j.cnki.651094.651316.2023.09.20.0003.
为使EC值调控系统更加稳定,响应更快,给实际EC值调控系统提供了一种可行策略.针对EC值调控过程和特点,建立并描述了具有二次混肥特性的EC值调控过程的二阶数学模型,提出一种结合模糊PID和改进型的Smith预估算法对调控过程进行控制,用MATLAB软件中的Simulink模块对PID、模糊PID和改进型Smith控制算法进行阶跃响应跟踪实验和抗干扰测试实验并进行分析.结果表明:1)PID控制时系统超调量为13.068%,到达稳态的响应时间为97 s,加入干扰后恢复稳态的时间为168 s;2)模糊PID控制时系统超调量为6.989%,到达稳态的响应时间为70 s,加入干扰后恢复稳态的时间为138 s;3)改进型Smith控制时系统超调量为0.505%,到达稳态的响应时间为57 s,加入干扰后恢复稳态的时间为104 s.
In order to make the EC value control system more stable and respond faster
a feasible strategy is provided for the actual EC value control system. Based on its regulation process and characteristics
a second-order mathematical model of EC value regulation process with secondary mixed fertilizer characteristics was established and described. A combination of fuzzy PID and an improved Smith prediction algorithm was proposed to control the regulation process. The Simulink module in MATLAB software was used to perform step response tracking experiments and anti-interference test experiments on the PID
fuzzy PID and improved Smith control algorithms.The results show that: 1) In PID control
the overshoot of the system is 13.068%
the response time to reach the steady state is 97 s
and the time to restore the steady state after adding interference is 168 s. 2) Fuzzy PID control system overshoot is 6.989%
the response time to reach steady state is 70 s
the time to restore steady state after adding interference is 138 s; 3) In the improved Smith control
the overshoot of the system is 0.505%
the response time to reach the steady state is 57 s
and the time to restore the steady state after adding interference is 104 s.
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