ARDUINO VA INFRAQIZIL SENSORLAR ASOSIDAGI AVTONOM CHIZIQQA ERGASHUVCHI ROBOT
Keywords:
Kalit:so‘zlar: Arduino Uno, qora chiziq, IR (infraqizil) sensorlarAbstract
Annotatsiya: Ushbu maqolada Arduino Uno mikrokontrolleridan foydalangan
holda avtonom chiziqqa ergashuvchi robotning dizayni, ishlab chiqilishi va baholanishi
batafsil yoritilgan. Robot oldindan belgilangan chiziq bo‘ylab harakatlanadi; bunda u
yo‘lni aniqlash uchun infraqizil (IR) sensorlardan va motorlarni boshqarish uchun
proporsional-integral-differentsial (PID) nazorat algoritmidan foydalanadi. Robotning
apparat qismi Arduino Uno, IR sensorlar, doimiy tok (DC) motorlari va ixcham
shassisga o‘rnatilgan L298N motor drayveridan iborat. Arduino IDE muhitida ishlab
chiqilgan dasturiy ta’minot sensor ma’lumotlarini qayta ishlaydi, robotning
belgilangan yo‘l va joriy holati o‘rtasidagi xatolikni hisoblaydi va PID algoritmi
yordamida uni minimallashtiradi. Turli yo‘l shakllarida o‘tkazilgan keng qamrovli
tajribalar robotning chiziq bo‘ylab harakatlanishda yuqori aniqlik va barqarorlikka ega
ekanligini ko‘rsatdi. PID kontrolleri tomonidan motor tezliklarining dinamik
moslanishi robotga murakkab yo‘nalishlarni samarali bosib o‘tishga imkon berdi va
an’anaviy chegaraviy usullarga nisbatan ustunlikni namoyish etdi. Ushbu tadqiqot
robotning avtomatlashtirilgan boshqaruvli transport vositalari (AGV), sanoat
avtomatizatsiyasi va ta’limiy vositalardagi qo‘llanilish imkoniyatlarini yoritib beradi.
Tadqiqot natijalari chiziq bo‘ylab harakatlanuvchi robotlar samaradorligini oshirishda
PID boshqaruv tizimining yuqori samara berishini tasdiqlaydi va bu yo‘nalishda
kelgusidagi innovatsiyalar uchun zamin yaratadi.
References
FOYDALANILGAN ADABIYOTLAR RO‘YXATI
1. Lee, J. H., "A survey on the PID control algorithm," IEEE Transactions on
Industrial Electronics, vol. 64, no. 2, pp. 301-309, 2017.
2. Mahmoud, M. S., PID control: Analysis, design, and technology, Springer, 2018.
3. Smith, A., "Design and implementation of a line-following robot using fuzzy logic,"
International Journal of Robotics Research, vol. 12, no. 3, pp. 123-135, 2019.
4. U. S. Kurmi, “Study of different face recognition algorithms and challenges,”
International Journal of Engineering Research, vol. 3, no. 2, pp. 112-115, 2019.
5. Khera, U. S. Kurmi, “Enhancing Performance of Wide Area CIoT SDN by US-ML
Based Optimum Controller Placement,” Research Reports on Computer Science,
pp. 112-121, 2020.
6. U. S. Kurmi, A. Khera, Enhancement of Cellular Network Using Application of
Industrial IoT in WAN Communication, U.S. Patent Application 202421002313,
2020.
7. S. Gupta, U. S. Kurmi, “A review – design of area and power efficient digital FIR
filter based on faithfully rounded truncated 12-bit constant,” International Journal
of Computer Applications, vol. 149, no. 6, 2017.
