FPGA based synchronous multi-channel PWM generator for humanoid robot

Muttaqin, Adharul; Finnadi, Stefanus Dion; Abidin, Zainul; Araki, Kakeru

doi:10.11591/ijece.v11i1.pp249-256

Cited by 4 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This was proven by Haskell and Hanna's research [21]. In addition, another advantage of FPGA is the designer can freely determine the I/O to be implemented in the system, so that an FPGA has higher flexibility than a microcontroller [13]. Based on the background, in this research, a multi-GPS receiver data processing system based on FPGA was designed and evaluated.…”

Section: Figure 1 Prototype Using 4 Gps Receiversmentioning

confidence: 96%

“…FPGA-based system has been applied to various applications, such as in microelectronics, industrial control, robotics, and internet of things (IoT) [9]- [11]. According to Deepchand's research, FPGA is able to perform multi-channel universal asynchronous receiver transmitter (UART) communication processes and multi-channel pulse-width modulation (PWM) generator [12], [13]. The FPGA is able to realize parallel data processing so that it can support data processing in real time [14]- [19].…”

Section: Figure 1 Prototype Using 4 Gps Receiversmentioning

confidence: 99%

See 1 more Smart Citation

Design of field programmable gate array-based data processing system for multi global positioning system receiver

Abidin

Aryawiratama

Muttaqin

et al. 2022

IJECE

Self Cite

View full text Add to dashboard Cite

<span>A global positioning system (GPS) sensor is needed for a ballistic/moving object to do position tracking. In previous study, a multi GPS processing system was made using several microcontrollers and data processing cannot be done simultaneously. Therefore, it was considered as ineffective system. In this research, field programmable gate array (FPGA)-based data processing system for multi-GPS receiver was proposed. The proposed system was designed to reduce root mean square error (RMSE). There are two main processes in the proposed system which work in parallel, i.e. data parsing and data processing. Raw data from GPS receiver was collected and calculated to get average value, then sent it through serial communication to show result. Experimental results <span>confirm the RMSE value of the proposed system is smaller than the conventional one. The RMSE for latitude, longitude, and altitude decrease by 38.46%, 58.28%, and 24.</span>80%, respectively.</span>

show abstract

Section: Figure 1 Prototype Using 4 Gps Receiversmentioning

confidence: 96%

Section: Figure 1 Prototype Using 4 Gps Receiversmentioning

confidence: 99%

Design of field programmable gate array-based data processing system for multi global positioning system receiver

Abidin

Aryawiratama

Muttaqin

et al. 2022

IJECE

Self Cite

View full text Add to dashboard Cite

show abstract

“…Performance indicators of the error in the system are the problem and its solution is to get rid of it completely or reduce it to the lowest possible level, thus obtaining an effective system design within the required outputs. The amount of error is taken and treated with one of the techniques of system performance indicators such as IAE, which means absolute integration of error [25]- [29]. There are other types that will be mentioned and represented in the equations (1-4) and Fig.…”

Section: Introductionmentioning

confidence: 99%

GWO-PID of Two-phase Hybrid Stepping Motor for Robotic Grinding Force

Abdullah,

Aziz,

Shneen

2023

JFSC

View full text Add to dashboard Cite

The use of the computer program MATLAB is prominent in many studies that simulate many industrial systems. The current simulation aims to build a suitable simulation model representing the Two-phase Hybrid Stepping Motor (2Ph-HSM). This type of motor is employed in a specific application to produce a force called automatic grinding force. To control the force, motor speed, and location, we need to add control systems, so two methods have been proposed, one of which is traditional, namely proportional, integral, and derivative (PID) control and the other is intelligent, called Gray Wolf Optimization (GWO). The current work also aims to use traditional control algorithms and advanced optimization algorithms that were chosen for their ease of control and possibility of use in many industrial applications. By setting appropriate specifications for the simulation model and after conducting prescribed tests that simulate different applications of the motor’s work within electrical systems, the results demonstrated good motor performance, better response, and high accuracy, in addition to speed. The goal is to design and tune a proportional, integral, and derivative (PID) controller by gray wolf optimization (GWO) using the transfer function (TF) of a 2Ph-HSM. To adjust the parameters of conventional controllers using advanced optimization, a suitable mechanism and technique were selected from advanced optimization techniques, where the gray wolf technique algorithm was chosen as an optimization technique and Integrated Time Absolute Error (ITAE) to adjust the parameters of conventional PID controller.

show abstract

“…One of the controlling implementations on hybrid stepper motor to overcome the nonlinearity behavior such as detent torque is the variable structure control (VSC) which is based on the sliding surface [5]. In [5][6][7][8][9], the controllers for motors were developed using Field Programmable Gate Array (FPGA), where its main advantage is the precision for multi-control purposes. Another development is a sensorless speed control for stepper motor with a new control structure that doesn't require state transformation.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Parameters of Sliding Mode Controllers for Stepper Motor through Simulink Response Optimizer Application

Mahmoud¹,

AlRamadhan²

2021

IJRCS

View full text Add to dashboard Cite

This paper will focus on optimizing parameters of sliding mode controllers (SMC) for hybrid stepper motor models simulated in Matlab/Simulink. The main objective is to achieve a smooth transient and robust, steady-state to track reference rotor position when the stepper motor is subjected to load disturbances. Two different structures of SMC controllers will be studied, which are based on the flat system concept that is applicable to the stepper motor model. The hassle to determine controller parameters will be optimized using the Simulink Response Optimizer application. The performance of the controllers will be evaluated by considering load torque and variation in the model parameters. Although the results showed that an open-loop controller could move the rotor to the desired position, however, the transient response had undesired oscillations before the output settled at the steady state. The response was improved by optimizing SMC controllers’ parameters to meet the desire step response requirement. Despite both SMC methods have successfully tracked the reference, there are some challenges to deal with each method in regard to the state measurements, the number of optimized controllers’ parameters, and the scattering of control inputs.

show abstract

FPGA based synchronous multi-channel PWM generator for humanoid robot

Cited by 4 publications

References 23 publications

Design of field programmable gate array-based data processing system for multi global positioning system receiver

Design of field programmable gate array-based data processing system for multi global positioning system receiver

GWO-PID of Two-phase Hybrid Stepping Motor for Robotic Grinding Force

Optimizing the Parameters of Sliding Mode Controllers for Stepper Motor through Simulink Response Optimizer Application

Contact Info

Product

Resources

About