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All Journal International Journal of Electrical and Computer Engineering Jurnal Gamma Transmisi: Jurnal Ilmiah Teknik Elektro Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Artificial Intelligence and Data Mining Seminar Nasional Teknologi Informasi Komunikasi dan Industri CYCLOTRON Multitek Indonesia : Jurnal Ilmiah Journal of Robotics and Control (JRC) Community Development Journal: Jurnal Pengabdian Masyarakat International Journal of Robotics and Control Systems JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Jurnal Nasional Teknik Elektro dan Teknologi Informasi SinarFe7 Equivalent: Jurnal Ilmiah Sosial Teknik

Zulfatman Zulfatman

Universitas Muhammadiyah Malang

Author-ID : 1175260

Aerospace Engineering Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences

Published : 42 Documents Claim Missing Document

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Articles

Title

Adaptive-Fuzzy-PID Controller Based Disturbance Observer for DC Motor Speed Control Zulfatman Has; Ahzen Habibidin Muslim; Nur Alif Mardiyah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

DC motors are one of the most widely used actuators in industry applications. In its use, the reliability of DC motor performance becomes an important prerequisite that must be met. Therefore, a control scheme is required to meet the above performance demands, especially in the transient, steady state, and system stability aspects. The main problems in DC motor control system, especially in terms of speed control, are the occurrence of changes in system parameters and the presence of disturbances such as load changes. This study offers an Adaptive- Fuzzy-PID (AFPID) control scheme equipped with Disturbance Observer (DOb). AFPID scheme plays a role in handling the change of system parameters, while DOb serves to estimate the occurrence of disturbance. The AFPID control scheme was verified experimentally on a DC motor test-rig that was subjected to load-bearing disturbance. The results of the experiments show that the AFPID control scheme with DOb has a better transient response performance than AFPID without DOb, as well as in the ability to compensate the load changes. The combination of AFPID with DOb offers a more stable performance to DC motor has and is more insensitive to disturbance.

Two-Link Flexible Manipulator Control Using Sliding Mode Control Based Linear Matrix Inequality Zulfatman Zulfatman; Mohammad Marzuki; Nur Alif Mardiyah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Two-link flexible manipulator is a manipulator robot which at least one of its arms is made of lightweight material and not rigid. Flexible robot manipulator has some advantages over the rigid robot manipulator, such as lighter, requires less power and costs, and to result greater payload. However, suitable control algorithm to maintain the two-link flexible robot manipulator in accurate positioning is very challenging. In this study, sliding mode control (SMC) was employed as robust control algorithm due to its insensitivity on the system parameter variations and the presence of disturbances when the system states are sliding on a sliding surface. SMC algorithm was combined with linear matrix inequality (LMI), which aims to reduce the effects of chattering coming from the oscillation of the state during sliding on the sliding surface. Stability of the control algorithm is guaranteed by Lyapunov function candidate. Based on simulation works, SMC based LMI resulted in better performance improvements despite the disturbances with significant chattering reduction. This was evident from the decline of the sum of squared tracking error (SSTE) and the sum of squared of control input (SSCI) indexes respectively 25.4% and 19.4%.

Optimization of Modified Sliding Mode Control for an Electro-Hydraulic Actuator System with Mismatched Disturbance Mohd Fua'ad Rahmat; Siti Marhainis Othman; Sahazati Md Rozali; Zulfatman Has
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

This paper presents a modified sliding mode controller (MSMC) for tracking purpose of electro-hydraulic actuator system with mismatched disturbance. The main contribution of this study is in attempting to find the optimal tuning of sliding surface parameters in the MSMC using a hybrid algorithm of particle swarm optimization (PSO) and gravitational search algorithms (GSA), in order to produce the best system performance and reduce the chattering effects. In this regard, Sum square error (SSE) has been used as the objective function of the hybrid algorithm. The performance was evaluated based on the tracking error identified between reference input and the system output. In addition, the efficiency of the designed controller was verified within a simulation environment under various values of external disturbances. Upon drawing a comparison of PSOGSA with PSO and GSA alone, it was learnt that the proposed controller MSMC, which had been integrated with PSOGSA was capable of performing more efficiently in trajectory control and was able to reduce the chattering effects of MSMC significantly compared to MSMC-PSO and MSMC-GSA, respectively when the highest external disturbance, 10500N being injected into the system's actuator.

Robust and Accurate Positioning Control of Solar Panel System Tracking based Sun Position Image Lailis Syafa'ah; Lailatul Fauziyah; Zulfatman Has
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

This study contains the robust and accurate positioning control design for solar panel system consisting of elevation and azimuth axis tracker. The ultimate objective of the study is to ensure the solar panel move accurately to follow its tracking reference against mechanical load and other disturbances. The tracking reference was the images of actual sun position. Image processing result as the initial reference and high precision encoder as the controller feedback path were intended to obtain the accurate position of hardware response. Sliding Mode Controller (SMC) with Proportional Integral Derivative (PID) Sliding Surface was employed as control technique that guarantee the solar panel system robust against disturbances or load variation. The proposed method was evaluated through software simulation and hardware validation. The software for the simulation and validation was LabVIEW. While the software for image processing was Vision Assistant. From hardware validation, accuracy of the solar panel system to track the sun position image for elevation and azimuth were 2.622% (0.03007 ) and 0.244% (0.00893 ), respectively. These results indicate that the solar panel system was available to move accurately to track the sun position both in azimuth and elevation axis.

Robust Adaptive Sliding Mode Control Design with Genetic Algorithm for Brushless DC Motor Een Hutama Putra; Zulfatman Has; Machmud Effendy
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

This study aims to design a control scheme that is capable to improve performance and efficiency of brushless DC motor (BLDC) in operating condition. The control scheme is composed of sliding mode controller (SMC) with proportional-integral-derivative (PID) sliding surface. The PID sliding surface is used to improve the system transient response. Then, the SMC-PID is optimized by genetic algorithm optimization for further improvement on the stability and robustness against nonlinearities and disturbances. Chattering problem that appear in the SMC is minimized by employing an adaptive switching gain for the SMC that is integrated with Luenberger Observer. Lyapunov function candidate is applied to guarantee the stability of the system. Simulation on the proposed work is done in Matlab Simulink. Results of the simulation works indicate that the proposed control scheme can improve the transient response, the stability and robustness of the BLDC motor compared to the conventional SMC in the existence of nonlinearities and disturbances.

Sizing Optimization and Operational Strategy of Hres (PV-WT) using Differential Evolution Algorithm Ilham Pakaya; Zulfatman Has; Annas Alif Putra
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

The instability of energy resources and corresponding cost of the system are the main two problems for designing the hybrid solar-wind power generation systems. The configuration of the system must have a high reliability on the power supply availability but with a minimum cost. The purpose of this paper is to find the most optimum or balanced configuration between technical reliability and total annual cost for the PV module number, the wind turbine number, and the battery number. The appropriate strategy of load management is needed by adjusting the potential energy resource to the load power demand. Loss of Power Supply Probability (LPSP) is a method to determine the ratio of power generation unavailability by the system configuration which used as technical analysis. Annualized Cost of System (ACS) is a method to determine the total annualized cost of the project lifetime which used as economic analysis. The result from the simulation showed that the Differential Evolution (DE) algorithm can be an alternative method to find the best configuration with a low number of LPSP and ACS. Since DE has a better efficacy and faster time to find global optimum than other algorithms.

Active Fault Tolerance Control For Sensor Fault Problem in Wind Turbine Using SMO with LMI Approach Nuralif Mardiyah; Novendra Setyawan; Bella Retno; Zulfatman Has
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

In this paper, we start to investigate the sensor fault problem in a Wind Turbine model with Fault Tolerant Control (FTC). FTC is used to allow the parameters of the controller to be reconfigured in accordance error information obtained online from sensors to improve the stability and overall performance of the system when an error occurs. The design is divided into two parts. The first part is designed Sliding Mode Observer (SMO) based Fault Detection Filter (FDF) to generate a residual signal to estimate fault. FDF is designed to maximize sensitivity fault. The second is a design output feedback control and Fault Compensation to guarantee the stability and performance system from disturbance by ignoring faults. Moreover, the function of fault compensation is to minimize effect fault of the system. The main contribution of this research is FTC proved to solve the sensor fault problem in a Wind Turbine model. The simulation showed the effectiveness of this method to estimate the fault and stabilized the system faster to a steady condition.

Object Detection of Omnidirectional Vision Using PSO-Neural Network for Soccer Robot Novendra Setyawan; Nuralif Mardiyah; Khusnul Hidayat; Nurhadi Nurhadi; Zulfatman Has
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

The vision system in soccer robot is needed to recognize the object around the robot environment. Omnidirectional vision system has been widely developed to find the object such as a ball, goalpost, and the white line in a field and recognized the distance and an angle between the object and robot. The most challenging in develop Omni-vision system is image distortion resulting from spherical mirror or lenses. This paper presents an efficient Omni-vision system using spherical lenses for real-time object detection. Aiming to overcome the image distortion and computation complexity, the distance calculation between object and robot from the spherical image is modeled using the neural network with optimized by particle swarm optimization. The experimental result shows the effectiveness of our development in the term of accuracy and processing time.

Design of Hybrid System Power Management Based Operational Control System to Meet Load Demand Zulfatman Has; Nurhadi Nurhadi; Fachmy Faizal
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v5.1713

Renewable energy is an energy of unlimited sources that covering wind, sunshine and water, which can be used as sources of renewable power plants. These power plants give several advantages, but also some disadvantages, such as expensive generation costs, etc. The difficulty of being raised, due instability of renewable energy resources (RER). Aim of this study is to design power management of a hybrid system based on operational control system due to load demand. In this study, Power Management of Hybrid System used 3 power plants: Photovoltaic (PV), Wind Power, and Micro Hydro Power Plant (PLTmH), while Battery was employed as storage system. Main focus of the work was to determine the activation of each plant using Artificial Neural Network (ANN) method to fulfill the load demand. Matlab Simulink was employed to developed and simulate the ANN on the system. From results of simulation can be concluded that ANN can reach target accuracy level in 80%. When interconnecting the entire plant, the ANN experienced a misreading due to the voltage drop in each generator that affected the ANN input.

Co-Authors A. F. Z. Abidin Ahzen Habibidin Muslim Ailin Rohmatul Fajria Akhyar Anadiansyah Al Ghozy, Naufal Ali, Nur Husnina Mohamad Alvian Widianto Amrul Faruq Anadiansyah, Akhyar Annas Alif Putra Arif, Denny Jumbo Ahmad Basolle, Azfar Waris Bella Retno Budhi Priyanto Cahyadi, Basri Nor Chai Mau Shern Chong Chee Soon Chong Chee Soon Delliar Khafid Nur Fahmi Delliar Khafid Nur Fahmi Dezar Septiantono Diding Suhardi Dirman Hanafi Dwi Nur Fajar Een Hutama Putra Effendy, Machmud Ermanu Azizul Hakim Fachmy Faizal Faizal, Fachmy Fajria, Ailin Rohmatul Fauziyah, Lailatul Fua'ad Rahmat, Mohd Ghani, Muhammad Fadli Gowdie Palmer Derai Haris Rahmana Putra Hazriq Izzuan Jaafar Humaidi, Haneef Nouval Alannibras Ilham Pakaya Jaafar, Hazriq Izzuan Jayanegara, M Mulyadi Khusnul Hidayat Komarudin Achmad Lailatul Fauziyah Lailis Syafa'ah Lailis Syafaâ€™ah Leonardo Kamajaya M Mulyadi Jayanegara M. F. Rahmat M. Irfan Machmud Effendy Machmud Effendy Machmud Effendy Mardiyah, Nur Alif Mardiyah, Nur Alif Mardiyah, Nuralif Marhainis Othman, Siti Marzuki, Mohammad Mas Nurul Achmadiah Md Rozali, Sahazati Merinda Lestandy Merinda Lestandy Mohammad Marzuki Mohd Fua'ad Rahmat Muhamad Fadli Ghani Muhamad Fadli Ghani Muhammad Haziq Hakim Rosman Muhammad Ikhwanul Khair Muhammad Irfan Muhammad Nasar Muslim, Ahzen Habibidin Noor Cahyadi, Basri Norazizah Novendra Setyawan Nur Alif Mardiyah Nur Alif Mardiyah Nur Alif Mardiyah Nur Alif Mardiyah, Nur Alif Nuralif Mardiyah Nuralif Mardiyah Nuralif, Nuralif Nurhadi Nurhadi Nurhadi, Nurhadi Nurhadi, Nurhadi Nurkasan Nurkasan, Nurkasan Pratama, Rido Octa Putra, Annas Alif Putra, Een Hutama Retno, Bella Rido Octa Pratama Rozaimi Ghazali Rozaimi Ghazali Rozaimi Ghazali S. M. Rozali Sahazati Md Rozali Septiantono, Dezar Siti Marhainis Othman Siti Marhainis Othman Soon, Chong Chee Syafa'ah, Lailis Syafaah, Lailis Syafaâ€™ah, Lailis Tahir, Abdul Wafi WIDIANTO Yahaya Md Sam Yahaya Md. Sam Zsa Zsa Septina Atsil

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