scholarly journals Selecting the Proportional-Integral (PI) Regulator Parameters from the Condition of Maximum Permissible Deviation in Leap Impacts on the System

Author(s):  
Badri Gvasalia ◽  
◽  
Tamuna Kvachadze ◽  
Korneli Odisharia ◽  
◽  
...  

The amplitude-frequency characteristic, which determines the parameters of the PI controller for linear objects, is either a monotonically feeding function, or has one resonant peak, and practically does not have a drop at a frequency less than the resonant one. The parameters of the PI controller selected in this way ensure, that the maximum deviation of the controlled value does not exceed the set value when stepping on the input of the object.

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5874 ◽  
Author(s):  
Marcelo Miranda Camboim ◽  
Juan Moises Maurício Villanueva ◽  
Cleonilson Protasio de Souza

In the last decades, a lot of effort has been made in order to improve the use of environmentally friendly and renewable energy sources. In a context of small energy usage, energy harvesting takes place and thermal energy sources are one of its main energy sources because there are several unused heat sources available in the environment that may be used as renewable energy sources. To rapidly evaluate the energy potential of such thermal sources is a hard task, therefore, a way to perform this is welcome. In this work, a thermal pattern emulation system to evaluate potential thermal source in a easy way is proposed. The main characteristics of the proposed system is that it is online and remote, that is, while the thermal-source-under-test is being measured, the system is emulating it and evaluating the generated energy remotely. The main contribution of this work was to replace the conventional Proportional Integral Derivative (PID) controller to a Fuzzy-Proportional Integral (PI) controller. In order to compare both controllers, three tests were carried out, namely: (a) step response, (b) perturbation test, (c) thermal emulation of the thermal pattern obtained from a potential thermal source: tree trucks. Experimental results show that the Fuzzy-PI controller was faster than the PID, achieving a setting time 41.26% faster, and also was more efficient with a maximum error 53% smaller than the PID.


2012 ◽  
Vol 241-244 ◽  
pp. 2113-2119
Author(s):  
Hai Feng Li ◽  
Yu Zhi Luo ◽  
Xiao Long Zhang ◽  
Deng Pan

The work in the paper constructed a platform for vehicle’s controllability and stability study conveniently and efficiently. Based on the dynamic model of the two-mass vibration system of vehicle body and wheel, the paper builds a vibration platform using the graphical programming software LabVIEW. It establishes a sinusoidal input road surface model, simulates the sinusoidal road surface under different amplitude and frequencies, and makes it the excitation source of the vibration system. It also obtains the curves of the amplitude-frequency characteristic of vehicle body and wheel displacement on the pavement displacement, and the time-domain response and amplitude-frequency characteristic curve of the body acceleration, suspension spring dynamic deflection and wheel relative dynamic load. This simulation platform provides an intuitive and effective method for vehicle ride comfort both in time domain and frequency domain.


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