Aris Triwiyatno

Engine Torque Control of Spark Ignition Engine Using Robust Fuzzy Logic Control

Due to government regulations and policies aimed at improving fuel economy and reducing emissions, it is increasingly important to achieve control over transient behavior and meet performance objectives over the life of the vehicle. This requires the development of high performance and robust power train controllers. The performance objectives are often conflicting, or at best interrelated. Controlling engine torque is one way to potentially meet these performance requirements. Spark ignition engine is a combustion engine that operates with a very wide operating point. Each point of engine operation provides different properties to each other, so that the control treatment to be given varies a great deal. This problem led to a single controller design becomes very difficult to be realized. In this research, a new design method of fuzzy robust control proposed to provide an alternative solution to build an integrated-control that can anticipate a system that works on a wide operating point and have different characters for each operating point. From the simulation results, it can be concluded that the design of robust fuzzy controller can be used simultaneously for several operating point without having to redesign the controller.

Design of pick and place robot with identification and classification object based on RFID using STM32VLDISCOVERY

Pick and Place Robot is a type of robot with “Pick and Place mechanism” designed to ease the displacement of objects from 1 position to another as desired. Some systems in the industries embrace the efficiency which is a production line usually enabled in order to produce several different types of objects in turn. Based on these circumstances, Pick and Place robot was designed to have 9 laying position divided into 3 main groups, namely A, B, and C and 2 disposal positions included in group X for objects instead of main group. The sensors used for detecting and classifying objects are using an RFID system (Radio Frequency Identification) because each RFID tag has a unique code and different from another. STM32VLDISCOVERY was used as a main controller for displacement movement of objects in the robot and classifying objects simultaneously. STM32VLDISCOVERY is a development kit integrated with a microcontroller STM32F100RBT6B which has a microprocessor based on ARM Cortex-M3. The classification system uses major ASCII 8th and 9th data from RFID tags to distinguish objects in each group. Based on the test of the entire system, Pick and Place robot successfully worked to move the specimen that has been mounted RFID tag to a predetermined position according to the group of objects and whether the position is empty or not.

Development of hovercraft prototype with stability control system using PID controller

Hovercraft is a mode of transportation as an alternative for users who stay on the river dan swamp surface. The problem with hovercraft is when uncertain weather and environmental condition, e.g. wind velocity and wave height disturb stability of hovercraft so as to endanger the driver. We propose a way to maintain the balance of the hovercraft by controlling center of gravity (CG) in the balance position. The controller controls the position of load to balance position. A 6-DOF IMU Sensor MPU 6050 was employed to generate data as a comparison with setpoint. PID control method was used. The test result shows that the prototype of hovercraft was able to keep its balance on the axis orientation of the roll although it was less effective in the pitch axis orientation.

Design of color based object sorting through arm manipulator with inverse kinematics method

Arm manipulator is one type of robot that is widely applied in the industrial world. Robots of this type are commonly used to help people in the hard work, dangerous or repetitive work. Arm manipulator application that has been widely used are for welding, painting, drilling, and displacement. There are two methods of motion in the arm manipulator development, they are forward kinematics and inverse kinematics. In this research, a 3 DOF arm manipulator prototype designed as sorting object by color. The arm manipulators prototype using inverse kinematics motion in determining the position of the sorted object transfer. In sorting this object is used as a sensor photodiode detector and distinguishing colors object are sorted. The output of this research is to produce a 3 DOF arm manipulator prototype that can move and sort object by its color. In this research, the average yield on a standard deviation is 0.866 cm for X axis and the Y axis is 1.197 cm. The standard deviation is obtained from 4 kinds of the test site sorting of object variations.

Sentinel web: Implementation of Laravel framework in web based temperature and humidity monitoring system

The performance of information technology infrastructure is influenced by environmental parameters, such as temperature and humidity. Therefore, there is a need to precisely monitor and handle such parameters. This paper presents the development of a reliable web based monitoring system as online application media to simplify recapitulation and documentation of temperature and humidity data. To fasten web development, it needs an implementation of web technology such framework. In developing application, Laravel MVC framework was employed as scripting method and object-oriented-based UML. Sentinel web offers stakeholder to monitor the latest data, review and download data by certain date range, make system error reporting document, and manage users and profile.

Design of self balancing pitch control in fixed wing unmanned aerial vehicle with fuzzy logic controller

In UAV flight controllers design, the occurrence of errors due to the delay in the system response to the reference signal from the pilot and the lack of stability in flat conditions due to interference or unbalanced mechanical load. When this happens UAV can not be controlled and the flight conditions can not be maintained any more. Fuzzy controller offers a solution for the development of UAVs stability controllers, specialized in the design of the autopilot system that controls the pitch angle of the UAV. This research has been developing a prototype of fixed wing UAV that can be controlled wirelessly and has ability to maintain the balance on the pitch angle of the flat conditions (self-balancing). Run test results show that the applied fuzzy method succesfully controls the pitch angle to maintain a flat condition the developed UAV.

Smart controller design of air to fuel ratio (AFR) and brake control system on gasoline engine

Development of internal combustion engine control system is currently oriented on exhaust emissions, performance and fuel efficiency. This is caused by fuel prices rising which led to a crisis on the transport sector; therefore it is crucial to develop a fuel-efficient vehicles technology. Gasoline engine fuel efficiency can be improved by several methods such as by controlling the air-to-fuel ratio (AFR). AFR technology currently still has many problems due to its difficulty setting characteristic since AFR control is usually as internally engine control. Fuel efficiency can be improved by influence of external engine system. Brake control system is an external engine system that used in this research. The purpose of this research is to design and implement the AFR and brake control system in a vehicle to improve fuel efficiency of gasoline engines along braking period. The basic idea is the controller has to reduce the consumption of fuel injection along braking period. The applied control system on vehicle works using smart controller, such as Fuzzy Logic Controller (FLC). When the vehicle brakes, fuel injection is controlled by the ECU brake control system. This control system works in parallel with the vehicle control system default. The results show, when the engine speed exceeds 2500 rpm, AFR value increased infinitely, so that maximum efficiency is achieved. At engine speed less than 2500 rpm, AFR value reaches a value of 22. The fuel measurement has been able to show a decrease in fuel consumption of 6 liters to 4 liters within the distance of 50.7 km. Improvement of fuel efficiency can be achieved by approximately of 33.3%.

Perancangan Kontrol Fuzzy Adaptif Pada Sistem Kontrol Kecepatan Stasioner Mesin Bensin

Abstract —Idle speed control has been a classical problem in automotive control. The problem of idle speed control is to maintain the engine speed at a predetermined value (set-point) in the presence of various external torque such as air conditioner or power steering usage. Good idle speed control not only can reduce fuel consumption and emissions but also improve combustion stability. This study was conducted by simulating gasoline engine performance with various changes in external torque parameter using computational software. Control of idle speed with various changes in external torque was done using fuzzy control with adaptive mechanism on its parameters. System testing was done by providing an external torque changes using various step signals and random signal. The test results show that controlling system with adaptive fuzzy is able to keep idle speed at a predetermined value. Testing the system with adaptive fuzzy control produces smaller IAE value (59.19) than the fuzzy control without adaptation process (62.41). Intisari — Kontrol kecepatan stasioner sudah sejak lama menjadi permasalahan yang banyak dibahas dalam kontrol otomotif. Pada kontrol kecepatan stasioner, permasalahan utama yang dibahas adalah menjaga kecepatan mesin agar tetap pada set-point dihadapkan dengan gangguan torsi eksternal yang dapat terjadi karena penggunaan AC ( air conditioner ), penyalaan unit elektronik, atau torsi yang dihasilkan oleh penggunaan power steering. Pengendalian kecepatan stasioner yang baik tidak hanya dapat mengurangi pemakaian bahan bakar dan emisi tetapi juga dapat meningkatkan kestabilan proses pembakaran. Penelitian dilakukan dengan mensimulasikan kinerja mesin bensin terhadap perubahan throttle dan torsi eksternal dengan perangkat lunak komputasi. Pengendalian kecepatan stasioner terhadap perubahan torsi eksternal dilakukan menggunakan kontrol fuzzy dengan parameter yang bersifat adaptif. Pengujian sistem dilakukan dengan memberikan perubahan torsi eksternal menggunakan sinyal anak tangga yang bervariasi dan sinyal random. Hasil pengujian menunjukkan pengendalian menggunakan kontrol fuzzy adaptif mampu menjaga kecepatan stasioner tetap pada referensi sebesar 954,9 rpm. Pengujian sistem dengan kontrol fuzzy adaptif menghasilkan nilai IAE yang lebih kecil (59,19) daripada sistem dengan kontrol fuzzy saja (62,41). Kata kunci : Mesin bensin, kecepatan stasioner, fuzzy adaptif