Implementation of DC Motor PID Control On Conveyor for Separating Potato Seeds by Weight

Febriyan, Daniya Sonny; Puriyanto, Riky Dwi

doi:10.31763/ijrcs.v1i1.221

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…Di sisi lain, Atmega16U2 (Atmega8U2 hingga versi R2) diprogram sebagai konverter USB ke serial. Uno revisi 2 memiliki resistensi yang menarik HWB 8U2 ke ground, membuat mode DFU lebih mudah digunakan [8]. Mereka digunakan di berbagai perangkat di sekitar kita.…”

Section: A Kontrol Pid Dalam Pemrogramanunclassified

Sistem Kendali Proportional Integral Derivative (PID) Menggunakan Mikrokontroler Arduino Pada Thinkercad

Solekha,

Latifa

2024

ECT

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Dalam sebuah percobaan simulasi sistem kendali yaitu dengan melakukan percobaan pengendalian posisi Motor DC menggunakan PID (Proportional Integral Derivative) pada website Thinkercad dimana dilakukan simulasi menggunakan komponen arduino uno R3 sebagai mikrokontroller sistemnya (otak sistem) kemudian Motor Driver (IC L293D) untuk menggerakkan motor DC dan Motor DC with Encoder memberikan umpan balik posisi untuk memungkinkan pengendalian yang akurat. Selain itu, untuk mendapatkan respon sistem yang baik dalam percobaan ini maka diperlukan pemilihan parameter nilai Kp (Konstanta Proportional), Ki (Konstanta Integral) dan Kd (Konstanta Derivative) yang tepat karena nilai Kp dapat mengontrol respon transient yang dihasilkan sistem, kemudian nilai Ki dapat mengontrol sejauh mana sistem menanggapi kesalahan steady state dan nilai Kp dapat mengontol sejauh mana sistem merespons perubahan cepat dalam variabel masukan yang juga dapat mengurangi osilasi. Selanjutnya serial monitor yang dihasilka dari run simulation pada matlab diambil 200 sample untuk kemudian di export ke matlab untuk mengetahui nilai rise time dan settling dari nilai Kp, Ki, Kd yang telah disimulasikan. Adapun percobaan ini dikatakan sebagai sistem embedded dikarenakan telah melakukan percobaan yang mencakup penggunaan perangkat keras dan perangkat lunak yaitu kombinasi perangkat keras (mikrokontroler, motor driver, dan motor DC dengan encoder) dan perangkat lunak (algoritma PID) yang terintegrasi dalam suatu sistem.

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Section: A Kontrol Pid Dalam Pemrogramanunclassified

Sistem Kendali Proportional Integral Derivative (PID) Menggunakan Mikrokontroler Arduino Pada Thinkercad

Solekha,

Latifa

2024

ECT

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“…12, is obtained from the variable resistor. In this study, the value of 𝑦 𝑑 can be determined using equation (20), where the value of 𝑔 𝑚𝑎𝑥 is set to 1.2.…”

Section: Pid Controller Designmentioning

confidence: 99%

Design and Develop a Non-Invasive Pulmonary Vibration Device for Secretion Drainage in Pediatric Patients with Pneumonia

Wongkamhang,

Wuttipan,

Chotikunnan

et al. 2023

Journal of Robotics and Control

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The study aimed to develop a non-invasive pulmonary vibration device, specifically tailored for pediatric patients, to address a range of pulmonary conditions. The device employs a PID control system to ensure consistent and precise vibrations. The primary contribution of this research is the successful development, testing, and implementation of this innovative device. Utilizing technical components such as an Arduino, a vibration DC motor, and an ADXL335 accelerometer, the device was engineered to deliver stable and continuous vibrations even when subjected to external pressures or interactions with the patient. Controllers, including P, PI, PD, and PID types, were rigorously compared. The Ziegler-Nichols tuning technique was applied for meticulous evaluation of vibration control specifically within the context of this non-invasive pulmonary vibration device. Our findings revealed that the PID controller displayed superior accuracy in vibration control compared to P, PI, and PD controllers. Clinical trials involving pediatric patients showed that the PID-controlled device achieved treatment outcomes comparable to conventional methods. The device's precise control of vibration strength provides an added benefit, making it a well-tolerated, non-invasive treatment option for various pulmonary conditions in pediatric patients. Future research is necessary to assess the long-term effectiveness of the device and to facilitate its integration into standard clinical practice. In summary, this study represents a significant advancement in pediatric pulmonary care, demonstrating the critical role that PID control systems adapted for non-invasive pulmonary vibration devices can play in enhancing treatment precision and outcomes.

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“…There are many methods to select the PID/FOPID/NPID compensator parameters such as trial and error and the Ziegler-Nichols rule [37], [38], [39]. In this research, the parameters of PID/FOPID/NPID compensator are selected simultaneously with the MRAC parameters (adaptation rate and model reference coefficients) based on a new Covid-19 optimization technique.…”

Section: 𝑢(𝑡) = 𝐾 𝑝 [𝐾 𝑛1 (𝑒) 𝑒(𝑡)] + 𝐾 𝑖 ∫ [𝐾 𝑛2 (𝑒) 𝑒(𝑡)] 𝑑𝑡mentioning

confidence: 99%

“…Due to its simplicity and ease of tuning, traditional PID controllers are frequently utilized in a variety of industrial applications. However, they do not guarantee desired dynamic performance and do not operate efficiently under a variety of operating situations [38]- [40]. Advanced control techniques such as adaptive control, variable structure control, fuzzy control, and neural networks can be used to solve this challenge [41].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Controller with PID, FOPID, and NPID Compensators for Tracking Control of Electric – Wind Vehicle

Shamseldin

2022

Journal of Robotics and Control

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This paper presents a new combination between the Model Reference Adaptive Control (MRAC) with several types of PID’s controllers (PID, Fractional order PID (FOPID), and Nonlinear PID (NPID)) optimized using a new Covid-19 algorithm. The proposed control techniques had been applied on a new model for an electric-wind vehicle, which can catch the wind that blows in the opposite direction of a moving vehicle to receive wind; a wind turbine is installed on the vehicle’s front. The generator converts wind energy into electricity and stores it into a backup battery to switch it when the primary battery is empty. The simulation results prove that the new model of electric–wind vehicles will save power and allow the vehicle to continue moving while the other battery charges. In addition, a comparative study between different types of control algorithms had been developed and investigated to improve the vehicle dynamic response. The comparison shows that the MRAC with the NPID compensator can absorb the nonlinearity (air resistance and wheel friction) where it has a minimum overshoot, rise time, and settling time (35 seconds) among other control techniques compensators (PID and FOPID).

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Implementation of DC Motor PID Control On Conveyor for Separating Potato Seeds by Weight

Cited by 9 publications

References 5 publications

Sistem Kendali Proportional Integral Derivative (PID) Menggunakan Mikrokontroler Arduino Pada Thinkercad

Sistem Kendali Proportional Integral Derivative (PID) Menggunakan Mikrokontroler Arduino Pada Thinkercad

Design and Develop a Non-Invasive Pulmonary Vibration Device for Secretion Drainage in Pediatric Patients with Pneumonia

Adaptive Controller with PID, FOPID, and NPID Compensators for Tracking Control of Electric – Wind Vehicle

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