Abstract:The usage of the robotic arm in industries has been growing as the robotic arm can provide many advantages to the industries. However, the usage of the robotic arm has many challenges faced by the industries. One of the problems is the error of the angle position caused by the movement of the robotic arm’s joint which affects the precision of the desired position of the end-effector. Therefore, this paper aims to study the solution of the PID controller to increase the accuracy of the position of the end-effec… Show more
“…For future work, this study can be extended by including different optimization algorithms for the purpose of comparison with the PSO technique [18][19][20][21]. In addition, another extension of this study could be by using other embedded hardware designs such as Raspberry Pi or FPGA or by using LabVIEW programming software in order to implement the proposed controller in a real-time environment [22][23][24][25].…”
The performance of the classical and adaptive backstepping control schemes for the angular position control of a nonlinear Propeller-Driven Pendulum System (PDPS) is investigated in this paper. A Particle Swarm Optimization (PSO) algorithm has been utilized to tune the design parameters of the proposed controllers. Based on the Lyapunov stability analysis the classical and the Adaptive Back-Stepping Controllers have been constructed in order to prove the convergence of the system's error with time. The Adaptive Backstepping Controller (ABSC) is designed to compensate for the variation in the system's mass magnitude. In terms of system transient response, a comparison study of the effectiveness of both controllers has been presented in this work. The simulation results have been obtained based on the MATLAB software. In addition, a comparison study between the proposed controllers and other controllers has been listed to demonstrate the effectiveness of the proposed controller. The simulation results show that the PSO based classical Backstepping Controller (BSC) has a better performance in terms of reducing the settling time, the steady-state error, and the Root Mean Square Error (𝑅𝑀𝑆𝐸) value in comparison with the STSMC and SMC. In addition, the simulation results reveal that the PSO based ABSC has a better performance in terms of reducing the steady state error and the maximum overshoot in comparison with the PSO based BSC and ASTSMC.
“…For future work, this study can be extended by including different optimization algorithms for the purpose of comparison with the PSO technique [18][19][20][21]. In addition, another extension of this study could be by using other embedded hardware designs such as Raspberry Pi or FPGA or by using LabVIEW programming software in order to implement the proposed controller in a real-time environment [22][23][24][25].…”
The performance of the classical and adaptive backstepping control schemes for the angular position control of a nonlinear Propeller-Driven Pendulum System (PDPS) is investigated in this paper. A Particle Swarm Optimization (PSO) algorithm has been utilized to tune the design parameters of the proposed controllers. Based on the Lyapunov stability analysis the classical and the Adaptive Back-Stepping Controllers have been constructed in order to prove the convergence of the system's error with time. The Adaptive Backstepping Controller (ABSC) is designed to compensate for the variation in the system's mass magnitude. In terms of system transient response, a comparison study of the effectiveness of both controllers has been presented in this work. The simulation results have been obtained based on the MATLAB software. In addition, a comparison study between the proposed controllers and other controllers has been listed to demonstrate the effectiveness of the proposed controller. The simulation results show that the PSO based classical Backstepping Controller (BSC) has a better performance in terms of reducing the settling time, the steady-state error, and the Root Mean Square Error (𝑅𝑀𝑆𝐸) value in comparison with the STSMC and SMC. In addition, the simulation results reveal that the PSO based ABSC has a better performance in terms of reducing the steady state error and the maximum overshoot in comparison with the PSO based BSC and ASTSMC.
“…The MG996R servo motor is used as an actuator at each joint, usually functioning as a revolute joint. It can adjust the set-up or set to determine and ensure the angular position of the motor output [14]; ESP8266 is a Wi-Fi transceiver that functions to connect the microcontroller with Wi-Fi so that it can be connected to TCP/IP; Bluetooth module which is a data communication protocol that uses a 2.4 GHZ radio frequency [15]; Arduino Mega is a microcontroller based on the ATmega 2560 ("Alternative Control System for Robot Arm with Data Logger," 2020); Motor Driver A4988 which is a stepper motor driver module that functions to control the direction of rotation and working speed of the stepper motor according to the commands on the Arduino [16]; RAMPS 1.4 Shild which functions as an interface between Arduino mega 2560 and devices such as stepper motors [17], as well as other supporting components. In addition to the components, there are systems that are also used, namely HMI (Human Machine Interface), database, and LoRa (Long Range).…”
3D printing is one of the most important tools of Industry 4.0. 3D printing technology has an advantage over traditional manufacturing processes, as it has the ability to convert 3D designs/models into ready-to-use products. The world of education needs to continue to adapt to technological developments. Making a mechanical prototype of a robotic arm is one of the main things to do to develop learning media in an educational environment. The mechanical prototype of the robotic arm can be made using 3D printing, so it will provide real implementation for education. The purpose of this study is to develop a custom 3D Printer learning media which is expected to facilitate the installation process and development of a mechanical prototype of a robotic arm as a form of implementation in the Mechatronics Engineering Education Study Program, FT UNY. This research was carried out based on the ADDIE model, namely Analysis, Design, Development, Implementation and Evaluation. The results of this study are a custom 3D printer based on FDM, both Cartesian and CoreXY types that can be used in learning in the Mechatronic Engineering Education Study Program. The test results show the average value of the measurement error of printing results is less than 2% so that it can be used in the learning process and supports the selected learning content. 3D printers can print robotic arm mechanical components with good results and low tolerances for printing precision.
Bu çalışmada, eklemli robotik sistemlerde kullanılması amacıyla planet redüktör yapılı eklem tahrik ünitesi tasarlanmıştır. Aktüatör olarak ifade edilen robot eklem tahrik ünitesinin yapısında; tahrik motoru, redüksiyon sistemi, motor kontrol ünitesi ve geri bildirim ünitesi (sensör, enkoder, potansiyometre vb.) yer almaktadır. Eklem bacaklı veya manipülatör yapılı robotik sistemlerin eklem hareketleri için yüksek torklu ve hızlı tepki verebilecek tahrik sistemleri tercih edilmektedir. Kontrol ve kullanım kolaylığı açısından tahrik motoru olarak DC motor kullanılmıştır. Eklemlerde yüksek tork ve hız elde edebilmek için planet (gezegen) dişli redüktör sistemi tasarlanmıştır. 3 boyutlu (3B) yazıcılar yardımıyla PLA malzemeden imal edilecek olan planet redüktörün, kullanılacak motor, sürücü ve enkoder çeşidine göre tasarlanarak ilgili uygulamalarda kullanıma sunulması amaçlanmıştır. Hedeflenen redüktör tahvil oranına göre planet dişlilerin kinematik analizi gerçekleştirilmiş, robotik sistemlerde verimli kullanılabilmesi için uygun tasarım sonucu eklem tahrik sistemi oluşturulmuştur.
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