Artificial intelligence based direct torque control of induction motor drive system

In this project, a three-phase Induction motor (IM) under the direct torque control (DTC) technique is studied. IM is known for its simple engines and its self-starter feature but it always suffered a setback in the area of torque and speed control as it is a highly coupled nonlinear plant and proves to be most complex and expensive speed drive. The application of direct torque control (DTC) is beneficial for fast torque reaction in IM but provide high torque and ripples due to harmonic effects. Thus, the speed control of induction motor is important to achieve maximum torque and efficiency. The aim of this study is to improve tracking performance of the induction motor drive using artificial intelligence control system. A method for controlling induction motor drive is presented with Proportional-Integral (PI) controller and Artificial Neural Networks (ANNs) for performance comparison. MATLAB/SIMULINK software is used to develop a three-phase 2 pole-cage type induction motor model. Also the performances of the two controllers have been verified in terms of its speed and torque responses. The ANN is trained so that the speed of the drive tracks the reference speed. This study proved that the performance and dynamics of the induction motor are enhanced using ANN controller as compared with PI controller

Takagi-Sugeno fuzzy perpose as speed controller in indirect field oriented control of induction motor drive

This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi- Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach

Study on footstep power generation using piezoelectric tile

Electrical energy is important and had been demand increasingly. A lot of energy resources have been wasted and exhausted. An alternative way to generate electricity by using a population of human had been discovered When walking, the vibration that generates between the surface and the footstep is wasted. By utilizing this wasted energy, the electrical energy can be generated and fulfill the demand. The transducer that use to detect the vibration is a piezoelectric transducer. This transducer converts the mechanical energy into electrical energy. When the pressure from the footstep is applied to the piezoelectric transducer, it will convert the pressure or the force into the electrical energy. The piezoelectric transducer is connected in series-parallel coonection. Then, it is placed on the tile that been made from wood as a model for footstep tile to give pressure to the piezoelectric transducers. This tile can be placed in the crowded area, walking pavement or exercise instruments. The electric energy that generates from this piezoelectric tile can be power up low power appliances

Development of cut to length machine using programmable logic controller with human machine interface

Industrial automation helps to eliminate the possibility of human error, reducing costs, saves time-consuming, and achieves higher productivity with better quality with the helps of the control system and technologies that enable industrial processes and machinery to operate automatically. For paper cutting applications, an automated cutter that able to cut the paper at specific lengths and operate according to the parameter setting by the user could help to save cost and time. Therefore, this work is to develop a cut to length machine using the Unitronic Jazz Programmable Logic Controller (PLC) with the combination of Human Machine Interface (HMI) features. This work aims to design and fabricate a small scale cutting machine controlled via a PLC software. To enhance the security system, one-stop center control panel is developed. The iron framework is chosen as a basement of the conveyor and cutter, with the fabrication process consists of five stages. The relationship between the measured speeds of the Alternating Current (AC) induction motor over the frequency range is discussed. From the experiment, the result shows that the machine able to cut the paper with a good precision and accuracy at the length of 1, 5, 6 and 7 inch for the paper type of 50, 70 and 80 gram per square meter (gsm) with the constant pneumatic pressure of 7.5MPa and constant motor speed at 60rpm (2Hz)

Development of prototype smart helmet and blind spot detection for motorcyclist safety features

Motorcycle safety concerns many aspects of vehicle and equipment design as well as operator skill and training that are unique to motorcycle riding. This project focus on the development of prototype smart helmet and blind spot detection features for motorcyclist safety system. The main objective of this work is to reduce the blind spot area for motorcyclists. The developed system are capable of measure appropriate distances (~ 10 cm to 50 cm) of insecurity among motorcyclists and vehicle behind by means of ultrasonic sensors and vibrator motor. The ultrasonic sensor play a role to detect any vehicle from behind the motorcyclist and system will alert the rider through the vibrator motor, LEDs and buzzer that install at the helmet as a warning to the rider about the range of insecurity. The system employed Arduino UNO as the main processing unit to control all the connectivity components. OLED display are also connected to the Arduino UNO mounted in front of the rider for displaying the distance detected by the ultrasonic sensor. Wireless transceiver module is use to serve as a data transmitter and receiver in which transmitted data collected by ultrasonic sensor will wirelessly transmit to the helmet node which is the receiver unit. In conclusion, this developed prototype project work are able to provide better solution for motorcyclist safety features in order to reduce the probability of accidental rate

Bending mechanism for piezoelectric transducer

This paper tests and analyzes a piezoelectric transducer with bending mechanism based on the bending condition of piezoelectric transducer after applying a force on the bending mechanism that increase the stress on the piezoelectric surface and thus increase the electrical charges produced An impact force is being exerted onto bending mechanism to bend the piezoelectric transducer and hence generating useable electrical power. The proposed prototype bending mechanism was built by using SolidWork soft-ware and manufactured by employing 3D printer technology to conduct the evaluation. This bending mechanism is divided into two parts, presser and support housing. The presser is design with four different diameter to test the piezoelectric transducer. A round piezoelectric transducer with the size of 50 mm in diameter is used to demonstrate the experiment. This piezoelectric transducer is placed in support housing and the presser is used to give pressure to the piezoelectric transducer. A subject is assigned to hold the presser and press in on the surface of the piezoelectric transducer. It can be seen from the experiment that the last presser with diameter 22.35 mm generated the highest output voltage about 44.0 V. The reported mechanism is a promising candidate in the application of energy harvesting by using piezoelectric transducer for powering various low power output devices

A hybrid solar-battery-supercapacitor based camping lamp

Lighting is an essential and insufficient lighting will make us difficult to see things clearly and performing almost all our daily activities. There will be a problem for activities like camping or hiking because there is no electricity and a camping lamp usually used to provide light. Previous product of camping lamp use only rechargeable battery as the supply and it is unconvincing to use the camping lamp for a long time as it only stays on for a few days. A camping lamp that can be charged by exposing to the sunlight can be the solution to overcome this problem. This study is enhancing the features of camping lamp using solar energy as the source to recharge the energy storage devices. There are two types of energy storage devices namely rechargeable battery and supercapacitor that function as the backup charging system. The supercapacitor harvest solar energy from the camping lamp itself so that the product can be recharge when there is no sustainable sunlight. The product will give a huge benefit to anyone who love to do outdoor activity

Loss minimization DTC electric motor drive system based on adaptive ANN strategy

Electric motor drive systems (EMDS) have been recognized as one of the most promising motor systems recently due to their low energy consumption and reduced emissions. With only some exceptions, EMDS are the main source for the provision of mechanical energy in industry and accounts for about 60% of global industrial electricity consumption. Large energy efficiency potentials have been identified in EMDS with very short payback time and high-cost effectiveness. Typical, during operation at rated mode, the motor drive able to hold its good efficiencies. However, a motor usually operates out from rated mode in many applications, especially while under light load, it reduced the motor’s efficiency severely. Hence, it is necessary that a conventional drive system to embed with loss minimization strategy to optimize the drive system efficiency over all operation range. Conventionally, the flux value is keeping constantly over the range of operation, where it should be highlighted that for any operating point, the losses could be minimize with the proper adjustment of the flux level to a suitable value at that point. Hence, with the intention to generate an adaptive flux level corresponding to any operating point, especially at light load condition, an online learning Artificial Neural Network (ANN) controller was proposed in this study, to minimize the system losses. The entire proposed strategic drive system would be verified under the MATLAB/Simulink software environment. It is expected that with the proposed online learning Artificial Neural Network controller efficiency optimization algorithm can achieve better energy saving compared with traditional blended strategies

Development of chicken egg hatching incubator machine (Natasha-CEHIM)

This paper presents a development of egg incubator system for chicken eggs incubation. The chicken egg hatching incubator machine are equipped with DHT22 and PIR sensors that able to automatically regulate and monitor the temperature and humidity in the incubator to create the ideal condition to incubate chicken egg. The entire system will be controlled using Arduino Uno control system as the brain of the system which control and operate the motor and sensors to detect necessary environment condition which then produce output signal for incubate operation. A DHT22 sensor that act as input detects temperature and humidity in the incubator and send it to the Arduino to display the condition of the incubator on the LCD screen display. The function of egg incubator is to be able to hatch chicks from egg while the mother hen can be free to lay more eggs hence increase the production of chicken egg, reduce the manpower, reduce hatching time and give a better efficiency during operation

Optimal sizing of static VAR compensator using bees algorithm for cost minimization

This paper presents the application of Bees Algorithm (BA) technique to find the optimal sizing of Static Var Compensator (SVC) to achieve the power system economic generation and dispatch. Installing an SVC at appropriate locations in the network can help stabilize weak system and minimize line losses. In order to determine the size of SVC, an optimization technique will be required if the location has been identified. While finding the optimal sizing, SVC operation limits are taken as constraints in the operation. Furthermore, their investment costs are also considered. Simulation results validate the efficiency of this approach in minimizing the overall system cost function, which includes generation cost and the investment cost of the SVCs. In order to demonstrate the effectiveness of the algorithm, IEEE26 Bus system is used