A fuzzy PID controller of monitoring system for construction machinery based on ARM

Author(s):  
Qinghui Zhou ◽  
Aihua Zhu ◽  
Baojiang Chen
2013 ◽  
Vol 756-759 ◽  
pp. 407-410
Author(s):  
Zhi Hui Xu ◽  
Wei Zhong Li ◽  
Yong Jun Xiao

Comparison with conventional manual adjustment to control the drop speed in clinical infusion, the infusion monitoring system can achieve much more high reliability and efficiency, and is easy to realize the automation of infusion. So the infusion monitoring system has been designed in the last papers. To test the designed system performance, some experiments are done. And the result show that under requirement of the system precision, the time consumption increase with the incensement of speed difference value; Comparing to the conventional PID controller, the fuzzy-PID controller can achieve high precision and little stabilizing time consumption.


Author(s):  
Deepak Kumar Lal ◽  
Ajit Kumar Barisal

Background: Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity. Methods: Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources. Results: The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems. Conclusion: The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively.


2021 ◽  
pp. 103564
Author(s):  
Wenjie Zeng ◽  
Qingfeng Jiang ◽  
Yinuo Liu ◽  
Shoujun Yan ◽  
Guangchun Zhang ◽  
...  

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.


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