Kanokvate Tungpimolrut

This article presents a development of a robot which is used for inspecting electrical generators. Traditionally, to inspect an electrical power generator, its rotor is required to remove first and the inspection task is then performed by human. This process consumes time and cost of operation. Moreover, there are risks to damage generator while removing the rotor as well as accidents during the operation. An alternative approach without removing the rotor by using robot inspection becomes important. Therefore, a small robot called generator inspection vehicle (GIV) has been developed for the purpose of the inspection without removing the rotor. The proposed robot's thickness is 20 mm height that is suited for using in small generators. By this size, small on‐board controllers installed in the GIV robot have been especially designed to reduce connections between the master station (i.e., a laptop and a joystick or controller pad) and the remote side (i.e., the robot). This approach requires only two wires for the connections. A new method for controlling the robot's alignment while operating inside the generator by using fusion signal from camera and inertial measurement unit (IMU) is also proposed. The robot can also carry equipment for specific tasks which are a wedge tightness detector (WTD) and an articulating gripper. Both of the proposed equipment, the WTD and the articulating gripper, are also presented. The proposed robot was tested in small generators, which their rotor diameter ranged from 980 and 1050 mm. Case studies of our design in field tests have also been reported in the article.

In this paper, the implementation of a switched reluctance motor (SRM) and drive system for the propulsion system of a two-seat electric motorcycle is described. The overall design focuses on the required vehicle speed, acceleration, driving distance, and overall system cost, as well as reliability. The performance of the three-phase 6/4 pole (six-stator pole and four-rotor pole) and four-phase 8/6 pole (eight-stator pole and six-rotor pole) are investigated and compared by static performance analysis and dynamic performance analysis. Their performance is further investigated by finite element analysis. The indirect torque controller in a drive system for optimal torque and efficiency operation is also mentioned. A methodology for rotor position detection and its hardware implementation are also proposed. The designed 3.5 kW three-phase 6/4 pole SRM and its drive system were _constructed and tested on the test bench. A maximum efficiency of about 82% could be achieved for the SRM and drive system. It was also installed on a 120-cc electric motorcycle, and the vehicle’s performance was also validated by on-road and dynamometer testing. The maximum vehicle speed reached was 82 km/h, and a cruising distance of about 98 km at a constant speed of 40 km/h was measured.

The goal of this paper is to present a comparative analysis of two types of winding arrangements for a three-phase 12/8 switched reluctance motor (SRM), where short- and fully-pitched winding arrangements under unipolar operation are considered. From the analytical results, the short-pitched winding has the best torque per copper weight ratio. The core loss based on counting the number of flux reversals in the stator yoke for each winding arrangement is also proposed and mentioned. To reduce the magnetic flux reversals in the stator core, changing the direction of the magnetic flux path by modifying the winding polarities of the short-pitched winding could reduce 10–13% of core loss compared to the conventional winding. A 1 kW, 12/8 SRM prototype for the ventilation fan application is constructed and tested in order to verify the design consideration of winding configuration. At the rated condition, a maximum efficiency around 82.5% could be achieved.

The system of this study is aimed to support doctors with an analyzed Cardiac auscultation. Extract the information from the heart sound signal obtained from stethoscope mobbed on the robot arm control is used in the further signal processing. Due to time consuming and accuracy, Support Vector Machine is introduced to replace Neural Network for better performance. With the proposed technique, the high classification performances were achieved 96.4% accuracy for classifying normal and abnormal heart sound while shortening the training time almost 300%. As the result, multi-classifier was introduced for advance development. This paper shows the comparison work between Neural Network and Support Vector Machine.

The objective of this paper is to design and implement a direct-drive position control based on a simplified sinusoidal flux model for a linear variable reluctance motor. The motor under consideration is a three-phase linear reluctance motor with strong magnetic coupling between phases that has the advantages of simple structure, compactness and low cost with no permanent magnet. The experimental results show overall good performance indicating that the developed system can be considered as a strong candidate for high precision manufacturing automation applications.