Volume 1 Issue 1
Authors: Daniel Gómez; Eduardo J. Moya; José Ramón Janeiro
Abstract: This article explains a SCADA System called SCADA Web developed by CARTIF Foundation. This SCADA System makes possible remote monitoring and control from the process controlled by PLC using Web Technology. SCADA Web has been developed on platform Java EE and provides visualization and control signals, trend charts, alarms, historical data, and alarm reports.
Keywords: Remote Supervision; Control Maintenance; Industrial Process; OPC-DA; SCADA; GSM; GPRS
Authors: Nicola Ivan Giannoccaro; Luigi Spedicato
Abstract: This paper proposes an application of industrial interest to assess the capacity of a tank, to measure and to control the contained liquid level and flow by using ultrasonic sensors. A tank is generally characterized by a cylindrical lateral surface which may be generated by rotating a curve around a fixed axis. The rotation of an ultrasonic sensor permits to fit out the generating curve of the surface so that the tank volume may be evaluated. The reconstruction may be then used to measure the quantity of water contained in the tank by means of a second ultrasonic sensor placed above the mouth of the tank and able to give the water level out. Both the ultrasonic sensors have been carefully located for avoiding possible unexpected reflections. Finally, the authors realize an experimental set-up for automatically controlling the water volume by a mechatronics system in which they make use of an electro-valve and an electro-pump. As the water level may be obtained while filling or emptying the tank and the time may be considered in each measurement, the volumetric flow may be estimated. Experimental tests will be shown and technical details will be discussed.
Keywords: Intelligent Sensors; Measurements in Industrial Plants; Sonar Sensors; Industrial Control; Mechatronics
Genetic Algorithm for Multiobjective Optimization: Applied in High Speed Machining Milling Operation
Authors: Hicham Mokhtari; Mohamed Arezki Mellal; Idir Belaidi; Said Alem; Sofiane Berrazouane; Mahdi Ouziala
Abstract: Genetic Algorithms (GAs) are general-purpose heuristic search algorithms that mimic the evolutionary process in order to find the fittest solutions. The algorithms were introduced by Holland in 1975. Since then, they have received growing interest due to their ability to discover good solutions quickly for complex searching and optimization problems. Simple genetic algorithms have been developed to solve the problems of multi objective optimization, such as NSGA II. The objective of this research is to apply the elitist non-dominated sorting GA (NSGA-II) for multi-objective optimization problems in case of high speed machining for the milling operation. The implemented model under Matlab, allows, from a considered space research. We have optimized the values of and , for an imposed Depth, while the production cost and time are minimized, under technical constrains of the production system.
Keywords: Multi-objective Optimization; Genetic Algorithm NSGA-II; Pareto Front; Milling Operation
Authors: Abdul Rashid Husain; Shamsudin H.M. Amin; Ibrahim M.H. Sanhoury
Abstract: This paper proposed a tracking control law for the kinematic model of the nonholonomic wheeled mobile robot (WMR). A Lyapunov candidate function is used to prove the stability of the controller. Simulation results verify the effectiveness of the proposed control law, where, a better path tracking of the mobile robot is achieved.
Keywords: Wheeled Mobile Robot; Trajectry Tracking; Steering System; Nonholonomic; Kinematic Model
Authors: Yiin Kuen Fuh; Kuo Chan Hsu; Jia Ren Fan; Ming Xien Lin
Abstract: This paper explores the capability of adaptive optics (AO) and its potential applications in precision instrument. The main purpose of this paper is to demonstrate the necessity of AO compensation where disturbances of both heat and fluid flow exist. In the absence of AO correction scheme, induced turbulences can severely degrade the residual rms errors from 0.14 to 1.4 μm. After real time closed-loop AO correction, we can improve wavefront with rms of 0.12 μm, which not only compensate aberration error from induced disturbances, but also overall optical system. Measurement results of five steel samples from roughness Ra 0.2 to 3.125μm (0.3 λ and 5 λ, where λ is diode laser wavelength) demonstrate an excellent correlation between the SdBD and Ra with correlation coefficient of 0.9982.
Keywords: Adaptive Optics; Imaging System; Binarized Analysis; Speckle Pattern; Roughness; Disturbances