PI Control Technology Principal Analysis and Simulation
DOI:
https://doi.org/10.54097/hset.v71i.12676Keywords:
PI controller, pole-zero map, step response, computer simulation.Abstract
As the requirements for control accuracy and speed increase, proportional-integral (PI) control systems can better achieve stable control. Proportional-integral (PI) control is widely used in modern industry because it has the characteristics of block speed and high accuracy. However, the performance of proportional control systems with different parameters varies greatly in different usage scenarios, and the behavior of PI control systems can be observed and adjusted in advance through computer simulation and modeling. This process can be optimized in advance by observing the response performance of the PI control system, thus reducing the development time and helping to improve the development efficiency in actual engineering. This paper explains the basic principle of PI control from the basic mathematical principle, and simulates the specific behavior of PI control system under different regulation parameters and shows the zero-pole distribution and step response of PI controller under different states and analyzes the application of PI control system in real engineering.
Downloads
References
Liu Jinkun. MATLAB Simulation of Advanced PID Control. Publishing House of Electronics Industry, 2004.
Cai Xiaoling, Wang Xiaofan, Wang Zhiquan. Internal model control and PI control. Journal of Nanjing University of Science and Technology (Natural Science Edition), 2002 (S1): 47-51.
Horowitz P, Hill W, Robinson I. The art of electronics. Cambridge: Cambridge university press, 1989.
El-Sharif I A, Hareb F O, Zerek A R. Design of discrete-time PID controller. International Conference on Control, Engineering & Information Technology (CEIT'14). 2014.
Ma Xuejun, Wan Ling, Kang Yong. Principle Simulation and digital realization of digital PI Controller. Journal of Huangshi Institute of Technology, 2005, 21(6): 7-9.
Cui Yebing, Zuo Yuefe, GUI Liang, et al. Current Control of Permanent Magnet Servo Motor Based on Composite PI Controller. Electric Machines & Control/Dianji Yu Kongzhi Xuebao, 2019, 23(4).
Chaturvedi D K. Modeling and simulation of systems using MATLAB and Simulink. CRC press, 2017.
Wang Y G, Shao H H. Optimal tuning for PI controller. Automatica, 2000, 36(1): 147-152.
Kamen E W. The poles and zeros of a linear time-varying system. Linear algebra and its applications, 1988, 98: 263-289.
Xie Yunxiang, Lu Zhuqiang. Simulation Modeling of PMSM Direct Torque Control based on MATLAB/Simulink. Journal of South China University of Technology (Natural Science Edition), 2004, 32(1): 19-23.
Wang Junjie. Research on PI Control and Simulation of Two-phase Flow temperature of Domestic Inverter Refrigerator. Modern information technology, 2022 (19): 45-47 + 51.
Baxendale M, Athavale J, Robertson S, et al. Data center temperature control using PI system and MATLAB. 2019 18th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm). IEEE, 2019: 897-904.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
