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All Journal Journal of Robotics and Control (JRC) Journal of Telecommunication Control and Intelligent System
Iswanto Suwarno
Universitas Muhammadiyah Yogyakarta
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Mechanical Engineering

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Controllability and Observability Analysis of DC Motor System and a Design of FLC-Based Speed Control Algorithm Iswanto Suwarno; Yaya Finayani; Robbi Rahim; Jassim Alhamid; Ahmed Ramadhan Al-Obaidi
Journal of Robotics and Control (JRC) Vol 3, No 2 (2022): March
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i2.10741

Abstract

DC motor is an electrical motor widely used for industrial applications, mostly to support production processes. It is known for its flexibility and operational-friendly characteristics. However, the speed of the DC motor needs to be controlled to have desired speed performance or transient response, especially when it is loaded. This paper aims to design a DC motor model and its speed controller. First, the state space representation of a DC motor was modeled. Then, the controllability and observability were analyzed. The transfer function was made based on the model after the model was ensured to be fully controllable and observable. Therefore, a fuzzy logic controller is employed as its speed controller. Fuzzy logic controller provides the best system performance among other algorithms; the overshoot was successfully eliminated, rise time was improved, and the steady-state error was minimized. The proposed control algorithm showed that the speed controller of the DC motor, which was designed based on the fuzzy logic controller, could quickly control the speed of the DC motor. The detail of resulted system performance was 2.427 seconds of rising time, 11 seconds of settling time, and only required 12 seconds to reach the steady state. These results were proved faster and better than the system performance of PI and PID controllers.
Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network Galang Persada Nurani Hakim; Diah Septiyana; Iswanto Suwarno
Journal of Robotics and Control (JRC) Vol 3, No 4 (2022): July
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i4.15539

Abstract

In this modern age, Internet of Things (IoT) and Wireless Sensor Network (WSN) as its derivatives have become one of the most popular and important technological advancements. In IoT, all things and services in the real world are digitalized and it continues to grow exponentially every year. This growth in number of IoT device in the end has created a tremendous amount of data and new data services such as big data systems. These new technologies can be managed to produce additional value to the existing business model. It also can provide a forecasting service and is capable to produce decision-making support using computational intelligence methods. In this survey paper, we provide detailed research activities concerning Computational Intelligence methods application in IoT WSN. To build a good understanding, in this paper we also present various challenges and issues for Computational Intelligence in IoT WSN. In the last presentation, we discuss the future direction of Computational Intelligence applications in IoT WSN such as Self-Organizing Network (dynamic network) concept.
Rocket tracking using the second order integral fuzzy logic control Iswanto Suwarno
Journal of Telecommunication Control and Intelligent System Vol. 1 No. 2 (2021): Monograph Book of Control
Publisher : PTTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jtcis.v1i2.31

Abstract

Fuzzy logic is logic with a degree of membership ranging from 0 to 1. Fuzzy logic is used to translate a linguistically expressed quantity. It is used as a control system because it is relatively simple and flexible to design and does not require complex mathematical models of the system to be controlled. The fuzzy control system keeps the rocket on track and moving at a constant speed. The fuzzy logic control system signal is used to control the rocket thrust. The Fuzzy Logic System has been selected as the controller because it works well on non-linear systems and simplifies program design. When used on systems that require rapid control, such as rockets, fuzzy logic systems do not perform optimally. Due to this issue, fuzzy logic is modified by incorporating second-order integral control into the modified fuzzy logic. 
Automatic Plant Watering Based on Fuzzy Decision Support System Iswanto Suwarno; Anna Nur Nazilah Chamim‬; Cosmin A. Popesc; Bruno Baruque Zanon
Journal of Telecommunication Control and Intelligent System Vol. 1 No. 3 (2021): Monograph Book of Intellegent System
Publisher : PTTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jtcis.v1i3.32

Abstract

Almost everyone is still doing the activity of watering plants manually, by watering the plants one by one is quite time consuming and a waste of energy. Watering plants is an activity that is always done every day by almost everyone who has plants at home, office and elsewhere. The activity of watering plants manually cannot know how much water the plants need so many plants die from excess water. With the above problems, this paper contributes in designing an automatic plant sprinkler system. With the development of technology, it is easier to water plants. Technological advances include automatic plant watering, automatic plant watering equipment utilizing a microcontroller as the brain circuit that processes the entire circuit to be used for watering plants. The microcontroller is used to read sensor data in the form of a soil moisture sensor. The sensor is processed by the microcontroller using the Fuzzy algorithm. Mamdani's fuzzy knowledge can be used as a reference when the plants are watered or not to take the values ​​of soil moisture and air temperature, so that the needs of aquatic plants can be met. This system can run automatically watering plants when the soil is dry,
Wheeled Robot Control with a Bluetooth-Based Smartphone Iswanto Suwarno; Nia Maharani Raharja
Journal of Telecommunication Control and Intelligent System Vol. 1 No. 1 (2021): Monograph Book of Telecommunications
Publisher : PTTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jtcis.v1i1.68

Abstract

A wheeled robot is a robot that can walk on a flat surface with the help of wheels as its driving medium, this wheeled robot is made using Arduino as a programming brain, where this robot can move forward, backward, turn right and turn left with a smartphone via a bluetooth module, This wheeled robot is controlled via a smartphone as the remote control and the Bluetooth HC-05 as a connecting medium between the smartphone and the robot. In addition to using Arduino, this robot uses an l298n motor driver as an output regulator for DC motors. From the results of testing on this design it can be concluded that the speed of the experimental robot I was 0.58 m/s for a distance of 3 meters can be completed in 5.1 seconds, in experiment II with 0.56 m/s with the same distance and for 5.3 seconds, and in experiment III it can be completed in 5.5 seconds with a speed of 5.4 m/s, the difference in speed and duration between experiments is influenced by factors such as reduced robot battery voltage and the process of sending data and pairing can be done as far as 13 meters.
Co-Authors Ahmed Ramadhan Al-Obaidi Anna Nur Nazilah Chamim‬ Bruno Baruque Zanon Cosmin A. Popesc Galang Persada Nurani Hakim Jassim Alhamid Nia Maharani Raharja Robbi Rahim Septiyana, Diah Yaya Finayani