Implementation of Genetic Algorithm for Parameter Tuning of PID Controller in Three Phase Induction Motor Speed Control

Induction motor at low speeds has a tough speed setting sets the width of the range. This study tested by giving the load motor disorders to describe the condition. The method used for vector control system so that the resulting performance is good at setting the motor speed and torque. This method is used in setting the Proportional Integral Derivative (PID) Tuning parameter settings based on Genetic Algorithm (GA) to provide a dynamic response to changes in speed and load torque on the motor, so we get smoothness at any speed change and braking and maximum torque motors. Optimization function is required to obtain a new PID parameter values each input value changes or load disturbances, in terms of the initial determination of these parameters using Ziegler-Nichols method based on frequency response. Tests were performed at a speed of approximately 1800 rpm value rise time of about 10 seconds after generation added, at a rate of 1800 rpm rise time value of the average remains around 9 seconds, but slightly reduced the oscillations in the response, and the speed of approximately 1700 rpm rise time value of the average is 9 seconds. The test results show that GA-based PID controller has a good response in approximately 0.85% overshoot at the motor speed change and brakin

PENGATURAN KECEPATAN MOTOR INDUKSI TIGA FASA DENGAN METODE PID SELF TUNING BERDASARKAN FUZZY PADA PERANCANGAN MOBIL HYBRID

Various control methods have been developed. Among of these, however, having poor result. To overcome the existing problems, Fuzzy Logic based PID Self-Tuning algorithm was proposed in this final project. This method is based on PID, actually, but then, the three parameters of PID, in these terms Kp. Ti, and Td are regulated by Fuzzy Logic. By using Ziegler-Nichols as the auto-tuning method, initial values of PID parameters should have derived. β, as the set point weighting factor will having influence in Kp, whereas α, will affect on integral and derivative terms. Both α and β are regulated by fuzzy logic, which error and rate of change of error are employed as fuzzy input. So that, the value of the three PID parameters will be varied during operation depend on the operating conditions. In this final project, three phase AC induction motor is used as a plant to be controlled. By using Atmega32 microcontroller, triggering driver, and three-phase inverter as the interface, so that by applying Fuzzy Logic based PID Self-Tuning as the method, the inverter triggering-frequency can be controlled by giving PWM among 0V to 5V. It is remained approaching or equalizing to set point by the controller, although there are load disturbances during operation. By employing Fuzzy Logic based PID Self-Tuning method, poor system response when approaching set point and load disturbance can be reduced. Keywords : Three-Phase AC Induction Motor, Three-Phase Inverter, PID Self-Tuning, Fuzzy Logic, Atmega32 Microcontroller

Technology Development of Kupang Processing with Dryer Machine Base on Expert System

Kupang as one of traditional food in East Java is an asset that has a positive impact on the nutritional status and health of those who consume them. Efforts to accelerate the realization of the preservation movement kupang through "I love Indonesian food" can be done in addition to providing information support for scientific study and rational accurate about the benefits and safety of those who consume should be developed kupang sale value processed products. Of nutritional aspects in addition to a high protein, apparently in mussels also contained the unsaturated fatty acid chain length is relatively high for good health. Kupang-based optimization of food processing is desirable. Balonggabus village of Candi Sidoarjo District is a regional producer of mussels and the potential to continue to develop products using a variety of mussels to the processed form of dryer machine (cabinet dryer) based on expert system so that the resulting product would be great texture, aroma and taste. Various processed mussels that can be developed such as: instant kupang paste, Kupang flour, Kupang crackers, noodles mussels, mussels etc so that products become more durable. This will make the area Balonggabus be more independent in producing and increasing revenu

Chattering reduction effect on power efficiency of ifoc based induction motor

Nowadays, the strategies to control Induction Motor (IM) is growing fast. The vector control strategies give better performance than the scalar control to control IM. IFOC is one of the vector control strategies which more realistic to apply in industry, military, and transportation. However, IFOC requires Sliding Mode Control (SMC) with the Lyapunov function to ensure robustness and stability. The first-order SMC or ordinary SMC uses boundary layers technique such as the saturation function and the tangent-hyperbolic function to overcome the chattering phenomenon. The performance of boundary layer is analyzed in rotor speed response, stator current response in dq0 frame and power performance. In rotor speed response, the SMC with and without boundary layer has error steady-state less than 2%. In stator current response with dq0 frame, the boundary layer with tangent-hyperbolic function has the best performance. The power analysis shows that the boundary layer with saturation function has an active power loss of 39.16%, reactive power loss of 23.37% and apparent power loss of 30.30%. The boundary layer with tangent-hyperbolic functions has the best performance in reducing power consumption with active power loss of 41.24%, reactive power loss of 24.78% and apparent power loss of 31.96%

Fast Response Three Phase Induction Motor Using Indirect Field Oriented Control (IFOC) Based On Fuzzy-Backstepping

Induction Motor in Electrical drive system at a accelleration speed for example in electric cars have a hard speed setting is set on a wide range, causing an inconvenience for motorists and a fast response is required any change of speed. It is necessary for good system performance in control motor speed and torque at low speed or fast speed response, which is operated by Indirect Field Oriented Control (IFOC). Speed control on IFOC methods should be better to improving the performance of rapid response in the induction motor. In this paper presented a method of incorporation of Fuzzy Logic Controller and Backstepping (Fuzzy-Backstepping) to improve the dynamically response speed and torque in Induction Motor on electric car, so we get smoothness at any speed change and braking as well as maximum torque of induction motor. Test results showed that Fuzzy-Backstepping can increase the response to changes speed in electric car. System testing is done with variations of the reference point setting speed control system, the simulation results of the research showed that the IFOC method is not perfect in terms of induction motor speed regulation if it’s not use speed control. Fuzzy-Backstepping control is needed which can improve the response of output, so that the induction motor has a good performance, small oscillations when start working up to speed reference.Keywords: Fuzzy-Backstepping, IFOC, induction moto

LOVETT Scaling with Flex Sensor and MYO Armband for Monitoring Finger Muscles Therapy of Post-Stroke People

LOVETT scale is a common parameter used by the doctor or therapist to determine the muscle strength of the patient’s hands, especially patients with post-stroke. As a result of previous work of our group, a sensory glove for monitoring finger muscle therapy for post-stroke people with the name of Electronic Therapy Gloves (ETG) was proposed. With the flex sensor that embedded to the gloves we can measure the LOVETT scale of the post-stroke people. This sensory glove can help the patient doing their rehabilitation fast so that they don’t have to go to the hospital every week to check up their progress. In this work, we combine the data of sensory glove and the MYO armband for LOVETT scaling that has never been done before. The output of the Electronic Therapy Gloves can be optimized by 25%. All the LOVETT grade can be identify by the gloves, then it can help the doctor monitor the patient’s rehabilitation just by looking the patient’s record data with ETG.Keyword: LOVETT scale, flex sensor, MYO armband, post-stroke, rehabilitation

New Algorithm for the Smoothing Speed Control of Induction Motor in Electric Car based on Self-Tuning Parameter PID-Fuzzy Logic

Driving system of electric car for low speed has a performance of controller that is not easily set up on large span so it does not give a comfort to passengers. The study has been tested in the bumpy road conditions, by providing disturbances in the motor load, it is to describe the condition of the road. To improve the system performance, the speed and torque controller was applied using Field Oriented Control (FOC) method. In this method, On-Line Proportional Integral Derivative Fuzzy Logic Controller (PID-FLC) is used to give dynamic response to the change of speed and maximum torque on the electric car and this results the smooth movement on every change of car performance both in fast and slow movement when breaking action is taken. Optimization of membership functions in Fuzzy PID controller is required to obtain a new PID parameter values which is done in autotuning in any changes of the input or disturbance. PID parameter tuning in this case using the Ziegler-Nichols method based on frequency response. The mechanism is done by adjusting the PID parameters and the strengthening of the system output. The test results show that the controller Fuzzy Self-Tuning PID appropriate for Electric cars because they have a good response about 0.85% overshoot at to changes in speed and braking of electric cars

Application of Sliding Mode Control in Indirect Field Oriented Control (IFOC) for Model Based Controller

Indirect Field Oriented Control (IFOC) is one of the vector control methods that can be applied to induction motor in the industrial world rather than Direct Field Oriented Control (DFOC) because of the flux is obtained from the formulation. However, IFOC can not guarantee the robustness and stability of the systems. Stability analysis such as Lyapunov Stability Theory can be used to make the system stable but not the robustness. Model based controller that can guarantee the stability and robustness such as sliding mode control (SMC) and fuzzy needs to be added in IFOC system to achieve proportional response system. Robust current regulator using sliding mode control was designed in this paper from state space model for model based controller. In transient response and under disturbance SMC shows better performance than PID in rising time and robustness at rotor speed and stator current

KONTROL KECEPATAN MOTOR INDUKSI MENGGUNAKAN METODE PID-FUZZY

PID control is widely used in many industrial processes because of PID control can overcome the various problems. But there is still a lack of control is the process of tuning. Tuning process is still done by trial and error. This process is done manually by trial and error method and the results may not be appropriate. To solve the problems of tuning using an alternative method to obtain the relative value better and faster. So people who do the tuning process does not have to have special expertise about the system settings. In this case an alternative method used is fuzzy logic. Fuzzy logic method is used to obtain the value of Kp, Ki and Kd for PID controller settings in the application of three phase induction motor speed so that the motor speed can be maintained in accordance with the desired set point value. Base of test result, obtained good result. Average of rise time is about 11.45 second, and error stady state is about 1.99%

AutoDock-IPS: An Automated Docking for Mobile Robot Based on Indoor Positioning System

Mobile robots are proven to be reliable in supporting the human tasks by using a computerized system that minimizes human errors. However, recharging the battery in these robots is still performed manually by the user. Therefore, to extend their lifetime, an indoor automatic docking system ‘AutoDock-IPS’ is created for mobile robot to charge its battery automatically. The automatic docking system determines the location of the docks (i.e., charging stations) so that, prototype can immediately navigate to them. Experiments were carried out to validate the docking method by utilizing a compass module as a direction sensor and a rotary encoder as a displacement indicator. These sensors are combined into a robust indoor positioning system. The results show that the prototype can find the fastest route to the docking station to perform battery charging procedure