Irrigation Sluice Control System Using Algorithm Based DC Motor PID And Omron PLC

Prastiyo, Duwi; Aji, Wahyu Sapto

doi:10.59247/csol.v1i1.5

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…was combined [28]. There are many other studies regarding the employment of the proportional-integral-derivative controller for regulating water levels in open channel systems and water tanks [29][30][31][32][33][34][35][36].…”

Section: Studied Areamentioning

confidence: 99%

“…A proportional-integral-derivative controller with a conventional model-free adaptive controller (MFAC) to develop a modified model-free adaptive controller (MMFAC) to enhance the control performance of the proportional-integral-derivative controller and MFAC in regulating the water level of a reservoir through rate adjustments was combined [28]. There are many other studies regarding the employment of the proportionalintegral-derivative controller for regulating water levels in open channel systems and water tanks [29][30][31][32][33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

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Developing Internal and External Proportional Integral Derivative Water Surface Controller in HEC-RAS

Shahverdi,

Noorali,

Ghodousi

et al. 2024

Water

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Controlling the water level in irrigation channels is important for the efficient management of irrigation and water delivery. In this study, the proportional–integral–derivative (PID) controller was implemented in both the HEC-RAS boundary condition, as an internal model, and MATLAB, as an external model. In the latter, the Hydrologic Engineering Center’s (HEC) River Analysis System (HEC-RAS) model was automated for irrigation canals by coding in the MATLAB script. To test the new models, E1R1 (first right bank branch of the first eastern canal in the Dez irrigation network, Khuzestan Province, Iran) irrigation canal data were prepared in HEC-RAS. A flow pattern was provided to simulate the canal water levels. The results showed efficient control of the water level for both models. The maximum and average water depth deviations from the target value were 13% and 4%, respectively, which fall in the good agreement range. The fewer these indicators, the better the performance is. The efficiency and adequacy were close to the ideal value and in the good agreement classes. The equity indicator was 0.013, which is very close to its ideal value of zero, showing efficient water distribution in the tested system. According to the literature for the equity indicator, a range of 0–0.10 is good, a range of 0.11–0.25 is fair, and a range of greater than 0.25 is poor. The results showed that simple and fast implementation is the main advantage of the internal model; however, it is not suitable for implementing complex controllers. Conversely, the external model can be implemented for complicated algorithms without any limitations.

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Section: Studied Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Developing Internal and External Proportional Integral Derivative Water Surface Controller in HEC-RAS

Shahverdi,

Noorali,

Ghodousi

et al. 2024

Water

View full text Add to dashboard Cite

show abstract

“…In general, the parameters used in PID controllers are 𝐾𝑝, 𝐾𝑖, and 𝐾𝑑. However, in PLC Omron, the PIDAT (191) instruction uses different parameters, namely Proportional Band (𝑃𝐵), Integral Time (𝑇𝑖𝑘), and Derivative Time (𝑇𝑑𝑘) [47]- [49]. Therefore, an equation is needed to change the parameters used by PIDAT (191), namely (1), (2), and (3).…”

Section: Pid Controllermentioning

confidence: 99%

Design and Application of PLC-based Speed Control for DC Motor Using PID with Identification System and MATLAB Tuner

Saputra

Ma’arif

Maghfiroh

et al. 2023

IJRCS

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Industries use numerous drives and actuators, including DC motors. Due to the wide-ranged and adjustable speed, DC motor is widely used in many industries. However, the DC motor is prone to external disturbance and parameter changes, causing its speed to be unstable. Thus, a DC motor requires an appropriate controller design to obtain a fast and stable speed with a small steady-state error. In this study, a controller was designed based on the PID control method, with the controller gains tuned by trial-and-error and MATLAB Tuner with an identification system. The proposed controller design was implemented using PLC OMRON CP1E NA20DRA in the hardware implementation. Each tuning method was repeated five times so that the system performances could be compared and improved. Based on hardware implementation results, the trial-error method gave acceptable results but had steady-state errors. On the other hand, the use of MATLAB Tuner provided fast system responses with no steady-state error but still had oscillations with high overshoot during the transition. Therefore, the PID controller gains acquired from MATLAB Tuner must be tuned finely to get better system responses.

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“…The PID control system is a type of feedback control system that utilizes a controller called Proportional-Integral-Derivative (PID) [82], [83], [84], [85], [86], [87], [88], [89]. This type of control system is commonly used in the basic design of motor control systems [90], [91], [92], [93], [94], [95]. Its structure is simple, and it provides effective performance in various control applications.…”

Section: Pid Controller Designmentioning

confidence: 99%

Adaptive P Control and Adaptive Fuzzy Logic Controller with Expert System Implementation for Robotic Manipulator Application

Chotikunnan

Pititheeraphab

2023

Journal of Robotics and Control

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This study aims to develop an expert system implementation of P controller and fuzzy logic controller to address issues related to improper control input estimation, which can arise from incorrect gain values or unsuitable rule-based designs. The research focuses on improving the control input adaptation by using an expert system to resolve the adjustment issues of the P controller and fuzzy logic controller. The methodology involves designing an expert system that captures error signals within the system and adjusts the gain to enhance the control input estimation from the main controller. In this study, the P controller and fuzzy logic controller were regulated, and the system was tested using step input signals with small values and larger than the saturation limit defined in the design. The PID controller used CHR tuning to least overshoot, determining the system's gain. The tests were conducted using different step input values and saturation limits, providing a comprehensive analysis of the controller's performance. The results demonstrated that the adaptive fuzzy logic controller performed well in terms of %OS and settling time values in system control, followed by the fuzzy logic controller, adaptive P controller, and P controller. The adaptive P controller showed similar control capabilities during input saturation, as long as it did not exceed 100% of the designed rule base. The study emphasizes the importance of incorporating expert systems into control input estimation in the main controller to enhance the system efficiency compared to the original system, and further improvements can be achieved if the main processing system already possesses adequate control ability. This research contributes to the development of more intelligent control systems by integrating expert systems with P controllers and fuzzy logic controllers, addressing the limitations of traditional control systems and improving their overall performance.

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Irrigation Sluice Control System Using Algorithm Based DC Motor PID And Omron PLC

Cited by 4 publications

References 20 publications

Developing Internal and External Proportional Integral Derivative Water Surface Controller in HEC-RAS

Developing Internal and External Proportional Integral Derivative Water Surface Controller in HEC-RAS

Design and Application of PLC-based Speed Control for DC Motor Using PID with Identification System and MATLAB Tuner

Adaptive P Control and Adaptive Fuzzy Logic Controller with Expert System Implementation for Robotic Manipulator Application

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