A New PID Tuning Method Based on Transient Response Control

Hamamcı, Serdar Ethem

doi:10.17694/bajece.93907

Cited by 5 publications

(2 citation statements)

References 23 publications

(29 reference statements)

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“…These gain values very important for rise time, overshoot rate, peak value, settling time and steady state error values of the system. Some energy storage systems do not respond immediately to input signals and react temporarily over time [5]. Therefore it is very important to tuning the gain coefficients of the PID controller.…”

Section: B Pid Controllermentioning

confidence: 99%

Hexapod Robot Design and Performance Comparison of Fuzzy and PID Control Methods

Gökrem

Can

Aydin³

2020

Balkan Journal of Electrical and Computer Engineering

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In this study, a six-leg spider robot (hexapod) was designed and controlled for greenhouse, search and rescue operations and military applications. Solidworks design program was used in the design stage and Matlab Simulink program was used in the control stage of the robot. In the study, a motion trajectory was determined by interpolation technique for the robot and it was aimed to move on this trajectory. Proportional-Integral-Differential (PID) controller and Fuzzy Logic Controller (FLC) were used for the trajectory control of the robot. The robot walk movements were applied in both control types with motion on flat ground, motion on inclined ground, motion at different weights and different friction coefficients. In the analysis studies, the total weight of the robot was taken into consideration as 4kg. As a result of the analysis studies, it was observed that this robot, which was designed and analyzed, followed a trajectory defined by a mass of 4 kg with an error value of 1 mm on average. During the trajectory tracking, it was found that the Fuzzy controller performs better than the PID controller at the turning points of the reference trajectory curve of the robot.

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Section: B Pid Controllermentioning

confidence: 99%

Hexapod Robot Design and Performance Comparison of Fuzzy and PID Control Methods

Gökrem

Can

Aydin³

2020

Balkan Journal of Electrical and Computer Engineering

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“…Jeng and Lin [6] proposed a Smith-type control structure for controlling both stable and integrating processes with time delay and inverse response. Hamamci [7] suggested design of PID controllers based on graphical optimization for stable, integrating and unstable processes without inverse response. Kaya and Cengiz [8] designed PI/PID controllers using analytical rules for controlling time delay stable processes with inverse response.…”

Section: Introductionmentioning

confidence: 99%

Optimal and Analytical Tuning of I-PD Controllers for Controlling Stable Processes with Inverse Response

Kaya

2020

Balkan Journal of Electrical and Computer Engineering

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Inverse response characteristic makes the control of a process more challenging. In this study, simple and analytical expressions have been obtained to evaluate optimum settings of I-PD controllers for controlling open loop stable processes with time delay and a positive zero. Time weighted versions of Integral of Squared Error (ISE) criterion, namely ISTE, IST 2 E and IST 3 E criteria, which have been proved to be leading to very adequate closed loop responses, have been exploited to obtain mentioned optimum settings. Simulation examples have been considered to for evaluating the effectiveness of obtained tuning rules.

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PID Controller Simulator Design for Polynomials Transfer Function

Senen¹,

Ratnasari²,

Simamora³

2020

E3S Web Conf.

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PID controller is a controller used to determine precision of a system instrument employing feedback of the system. The component of PID control can be applied simultaneously or singly depends on the response we desired from a plant. However, there is problem in analyzing planned system response; how to get transfer function from a system and analyze it quickly and easily. As of today, control system engineers still encounter difficulty in analyzing system response especially for transfer function using polynomial equations of degree greater than two and employing trial and error method when analyzing response in the simulation. Thus, the writers design a simulator to solve this problem by using Graphical User Interface. The design of the program can be used for polynomial transfer function and installed directly to computer with smaller memory capacity. Hence, it is more user-friendly and not slowing down the operating system of computer. To ensure that the output of simulation correctly generated, we implemented block diagram modeling in simulink. In the future, the result of this research can be implemented as reference to easily understand the characteristics of PID controller especially for polynomials transfer function.

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A New PID Tuning Method Based on Transient Response Control

Cited by 5 publications

References 23 publications

Hexapod Robot Design and Performance Comparison of Fuzzy and PID Control Methods

Hexapod Robot Design and Performance Comparison of Fuzzy and PID Control Methods

Optimal and Analytical Tuning of I-PD Controllers for Controlling Stable Processes with Inverse Response

PID Controller Simulator Design for Polynomials Transfer Function

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