This paper presents a design of the control system to control AC/DC converter. Algorithm of a control system design consists of the output voltage loop control used a fuzzy gain scheduling of PI control and the current loop control used a hysteresis control which is described in this paper. The evaluation of the proposed control system is used to control an isolated CUK AC/DC converter operation with a 250W load and a -48V output voltage. The system is achieved as the following; the tight output voltage both the steady state operation and the transient response a power factor is nearly unity and the waveform of input current is nearly sinusoidal. In addition the control system design is simple and uncomplicated

This paper presents the application of MATS Algorithm that used to find optimum membership function shapes for a fuzzy logic controller and used to find optimum limit range of a compensate reference current amplitude. This amplitude used to create three-phase compensate reference current signals that compare with three-phase compensate real current signals at hysteresis band current controller (HBCC) to generate gate drive signals of a FL-APF. The FL-APF delivers reactive power to point of common coupling and reduce harmonics components of all supply currents. The MATS evolution mechanisms were found optimum membership functions for fuzzy logic controller. The simulation results after setting optimum parameters were found that the fuzzy logic controller control active power filter to compensate reactive power at the point of common coupling and limit source currents THD to 5% in range and complied with IEEE 519 standard

This research is to study and develop a DC motor speed control by using Visual Basic.Net 2008 in computer programming to use the computer and the microcontroller is processing from computer via the serial port. So that a signal to the motor driver circuit motor speed work as assigned. By the speed can be entered via the computer screen is measured in rpm. and motor control to control the PWM (Pulse Width Modulation) control circuit and the principles of the hardware by using the digital output signal of the microcontroller control Motor speed can be configured to be from 100 to 3000 rpm. And the motor starts to spin at maximum speed and then gradually reduce the speed down to the specified value. Control both the speed and the average error of 4.6% compared to the speed measurement using infrared light. And found that at speeds below 100 rpm. to a maximum error of 12% and the error decreases when the speed increases. The error value is at least 2000 rpm. and 3000 rpm the speed error is 0.5%

This paper is a presentation of the Load-Frequency Control (LFC) of Interconnected Power System by using Fuzzy Logic and Artificial Neural Network (ANN) Controller. The both of controller have been widely applied for handling the system control of Industries and Engineering. Since the Load-Frequency behaviors of power system of uncontrolled and PI- Controller or Fuzzy Logic Controller (FLC) wanted to the stability at first of energize and load in a short time. The control system and controller then be significant for to go forward reform stability of interconnected energize power system a short time. In this research we have the Load-Frequency Controller of Interconnected Power System by using Artificial Neural Network Controller the improved can compared with conventional Fuzzy Logic Controller at power total 47.55 MW and load changing of power plan No.3 is 0.02 p.u. (1.75 MW)

This reseach presents development of engineering education about automation engineer. The objectives of develop education technology automatic control systems. The development and pilot institutions or company associated with the agency so that it can compete with companies in the ASEAN countries. In the design research and development training kit to support and use in teaching and learning control liquid level like an industry as the reality of the industry. The trainner could be applied to the advanced control theory for experiment in teaching or training in class room similary industry personnel. The hardware is compatible with existing standards. It is increase the capacity of existing courses such as a course to learn basic control system consists of a sensor industry around the outside parmerter. The sensor could be real measured and simulation from plant model. The student can control the virtual experiments. Controller could be learning such as PLC Microcontroller and computers. The experiments determine relation of correlated response signal ON-OFF and PID by adjust Gain control systems that have tenor as same as control theory which describes the response of the control. The experimental results of this the research collected in the operating room. The ability to control the system to could be doand meet the taget and follow by objective