Control and Monitoring Automatic Floodgate  based on NodeMCU and IOT  with Fuzzy Logic Testing

Utama, Satriya Ramahdika; Firdausi, Ahmad; Hakim, Galang P. N.

doi:10.18196/jrc.v3i1.11199

Cited by 5 publications

(7 citation statements)

References 20 publications

(20 reference statements)

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“…Digital distance measurement using ultrasonic sensors has replaced manual measurement without touching the object to be measured and its advantage [3] is resistance to light intensity, object color, and climate change. Ultrasonic sensor in paper [4][5][6] that utilizes ultrasonic sound waves with two transducers as transmitter (pin Trigger) and receiver (pin Echo). The transmitter produces ultrasonic sound waves in the form of signals with a certain frequency and is sent to the destination object.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…One application of ultrasonic sensors is applied to rice planters such as paper [4] which is used as a rice seed counter, inside which consists of a crystal oscillator as well as a transmitter and receiver of ultrasonic waves. In paper [5] ultrasonic sensor applications are used to monitor the water level at sluice gates by utilizing the Trigger pin and Echo pin of the ultrasonic sensor. In addition, on paper [6] ultrasonic sensors are used as Obstacle Avoidance for Autonomous Vehicles due to their ability to measure the distance of obstacles in front of them.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Therefore, the function of the Trigger pin and Echo pin is very important as a transmitter and receiver that captures ultrasonic sound waves that bounce back after interacting with the object they hit. Papers [4][5][6] show ultrasonic sensors have been applied in various fields of research, although they still cause noise in every measurement. Inaccuracies arise when the transmit and receive signals are disrupted by noise.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 2 more Smart Citations

Implementation of Kalman filter algorithm to optimize the calculation of ultrasonic sensor distance value in Hooke law props system

Pratiwi,

Fadli,

Cahyanto

et al. 2024

EEJET

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The Kalman filter algorithm is very important as a recursive algorithm method to optimize sensor output from physical parameter measurement systems, especially physics practicum demonstration systems. One of the distance parameter measurement demonstration systems used in Hooke’s law demonstration system is applied in physics practicum, the system has problems related to fluctuating or unstable sensor output. This research implements the Kalman filter algorithm on the Arduino IDE sketch to reduce noise that appears at the ultrasonic sensor output. The methodology used in this study includes the application of the Kalman filter algorithm to the Arduino IDE sketch with the variable value of the Kalman filter algorithm equation modified with a value of R=10, H=1, and Q=1, and returns the filtered Kalman out value. The Arduino output results are exported to Ms. Excel for further analysis and generate a filtered ultrasonic sensor output signal graph compared without using the Kalman filter. The ultrasonic sensor output noise filtration effectively reduces noise by showing a decrease in the mean squared error (MSE) value and obtaining the best performance of up to 89.23 %. The accuracy of Kalman filter filtration results can be seen from the calculation that the spring constant of filtered metal materials is smaller than the conventional measurement spring constant. Accurate and effective results with the implementation of the Kalman filter algorithm can be developed for the variation values of distance parameters and Kalman filter algorithm variables (R, Q, and H) with other value variations, especially variables that produce filtering curves close to straight lines. It was concluded that the Kalman filter algorithm was able to improve the performance of Hooke’s law prop system

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Implementation of Kalman filter algorithm to optimize the calculation of ultrasonic sensor distance value in Hooke law props system

Pratiwi,

Fadli,

Cahyanto

et al. 2024

EEJET

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show abstract

“…The principle for handling time delays is outlined in the following. Assume that the system is governed by (8).…”

Section: 𝑗(𝜃 𝑍mentioning

confidence: 99%

Real-Time Inverse Dynamic Deep Neural Network Tracking Control for Delta Robot Based on a COVID-19 Optimization

Shamseldin

2023

Journal of Robotics and Control

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This paper presents a new technique to design an inverse dynamic model for a delta robot experimental setup to obtain an accurate trajectory. The input/output data were collected using an NI DAQ card where the input is the random angles profile for the three-axis and the output is the corresponding measured torques. The inverse dynamic model was developed based on the deep neural network (NN) and the new COVID-19 optimization to find the optimal initial weights and bias values of the NN model. Due to the system uncertainty and nonlinearity, the inverse dynamic model is not enough to track accurately the preselected profile. So, the PD compensator is used to absorb the error deviation of the end effector. The experimental results show that the proposed inverse dynamic deep NN with PD compensator achieves good performance and high tracking accuracy. The suggested control was examined using two different methods. The spiral path is the first, with a root mean square error of 0.00258 m, while the parabola path is the second, with a root mean square error of 0.00152 m.

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“…As a result, the control task for this procedure is quite difficult. For single-axis controllers, there are numerous design strategies available, including traditional PID control, self-tuning PID control, fuzzy PID control, adaptive control, and sliding mode control [12]- [15].…”

Section: Introductionmentioning

confidence: 99%

A New Self-Tuning Nonlinear PID Motion Control for One-Axis Servomechanism with Uncertainty Consideration

Shamseldin

Abdelghany

2023

Journal of Robotics and Control

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This paper introduces a new study for one-axis servomechanism with consideration the parameter variation and system uncertainty. Also, a new approach for high-performance self-tuning nonlinear PID control was developed to track a preselected profile with high accuracy. Moreover, a comparison study between the proposed control technique and the well-known controllers (PID and Nonlinear PID). The optimal control parameters were determined based on the COVID-19 optimization technique. The parameters of the servomechanism system changed randomly at a preselected range through the online simulation. The change of these parameters acts as the nonlinearity resources (friction, backlash, environmental effects) and system uncertainty. A comparative study between the linear and nonlinear models had been accomplished and investigated. The results show that the proposed controller can track several operating points with high accuracy, low rise time, and small overshoot.

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Control and Monitoring Automatic Floodgate based on NodeMCU and IOT with Fuzzy Logic Testing

Cited by 5 publications

References 20 publications

Implementation of Kalman filter algorithm to optimize the calculation of ultrasonic sensor distance value in Hooke law props system

Implementation of Kalman filter algorithm to optimize the calculation of ultrasonic sensor distance value in Hooke law props system

Real-Time Inverse Dynamic Deep Neural Network Tracking Control for Delta Robot Based on a COVID-19 Optimization

A New Self-Tuning Nonlinear PID Motion Control for One-Axis Servomechanism with Uncertainty Consideration

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