• The Transactions of the Korean Institute of Electrical Engineers
• /
• v.45 no.1
• /
• pp.42-53
• /
• 1996

The paper presents a speed control system of vector controlled induct- ion motor using neural networks. The main feature of proposed speed control system is a Neural Network Controller(NNC) which supplies torque current to induction motor and Neural Network Emulator(NNE) which captures the forward dynamics of induction motor. A back propagation training algorithm is employed to train the NNE and NNC. In order to determine the NNC output error, plant(induction motor) output error can be back propagated through the NNE. The NNC and NNE for speed control of vector controlled induction motor is carried out by TMS320C30 DSP and IGBT current regulated PWM inverter. Through computer simulation and experimental results, it is verified that proposed speed control system is robust to the load variation. (author). refs., figs.

• Proceedings of the KIPE Conference
• /
• 2007.07a
• /
• pp.43-45
• /
• 2007

This Paper proposes a simple identification method of the moment of inertia for high performance spindle motor of machine tool. It uses the dynamic equation of a simple mechanical system, the torque reference of a speed controller, and the actual rotating speed of machine. The identified inertia can be for auto-tuning of the gains in the speed controller. The effectiveness of the proposed method is proved by the computer simulation.

• Journal of Electrical Engineering and Technology
• /
• v.7 no.2
• /
• pp.273-280
• /
• 2012

Most variable speed wind turbines have pitch control mechanisms and one of their objectives is to protect turbines when the wind speed is too high. By adjusting pitch angles of wind turbine, the inlet power and the torque developed by the turbine are regulated. In this paper, the difference between the real wind speed and its rated value is regarded as a disturbance, and a component called disturbance observer (DOB) is added to the pre-designed control loop. The additional DOB based controller estimates the disturbance and generates a compensating signal to suppress the effect of disturbance on the system. As a result, the stability and the performance of the closed loop system guaranteed by an outer-loop controller (designed for a nominal system without taking into account of disturbances) are approximately recovered in the steady state. Simulation results are presented to verify the performance of the proposed control scheme.

• Proceedings of the KIEE Conference
• /
• 1993.07b
• /
• pp.912-915
• /
• 1993

In this paper, the speed of single phase induction motor driven by full bridge inverter is controlled by a PID controller under condition of disturbance load and setpoint changes, and the current characteristics of the system is investigated to look for the good properties of A.C. motor torque through the results of experiment. From the experimental result, it is confirmed that the speed of single phase induction motor driven by full bridge series inverter can be smoothly controlled by an analog PID controller.

• Proceedings of the KIEE Conference
• /
• 2001.07d
• /
• pp.2283-2285
• /
• 2001

This paper proposed to a neural network based fuzzy control (neuro-fuzzy control) technique for attitude control of helicopter with strongly dynamic nonlinearities and derived a helicopter aerodynamic torque equation of helicopter and the force balance equation. A neuro-fuzzy system is a feedforward network that employs a back-propagation algorithm for learning purpose. A neuro-fuzzy system is used to identify nonlinear dynamic systems. Hence, this paper presents methods for the design of a neural network(NN) based fuzzy controller(that is, neuro-fuzzy control) for a helicopter of nonlinear MIMO systems. The proposed neuro-fuzzy control determined to a input-output membership function in fuzzy control and neural networks constructed to improve through learning of input-output membership functions determined in fuzzy control.

• Journal of Power System Engineering
• /
• v.10 no.4
• /
• pp.159-164
• /
• 2006

In recent, the marine engine of a large size is being realized a lower speed, longer stroke and a small number of cylinders for the energy saving. Consequently the variation of rotational torque became larger than former days because of the longer delay-time in fuel oil injection process and an increased output per cylinder. It was necessary that algorithms have enough robustness to suppress the variation of the delay-time and the parameter perturbation. This paper shows the structure of hybrid F-NFC against the delay-time and the perturbation of engine parameter as modeling uncertainties, and the design of the robust speed controller by hybrid F-NFC for the engine. And, The Parameter values of linear equation are determined by RC-GA for F-NFS. The hybrid F-NFC is combined the F-NFC and PID controller for filling up each.

• 제어로봇시스템학회:학술대회논문집
• /
• 1997.10a
• /
• pp.779-782
• /
• 1997

In this paper, accurate position control of a stenciling robot manipulator is designed. The stenciling robot is requried to draw lines and characters on the pavement. Since the robot is huge and heavy, the inertia is expected to play a major role in the tracking performance as desired. Here we are proposing neural network control scheme for a computed-torque like controller for the stenciling robot. On-line compensation is achieved by neural network. Simulation studies with stenciling robot are carried out to test the performance of the proposed control scheme.

• Proceedings of the KIPE Conference
• /
• 2000.07a
• /
• pp.181-185
• /
• 2000

To get high efficiency in variable speed control of induction motor it is required that the vector control should be separated from flux components current and torque component current. In this paper the vector control is modeled by the estimation of the stator flex. Representing induction motor speed controller as a digital system with he use of he 32bit DSP improves the motor control performance The IGBT is used as the switching device and the validity of the proposed vector control is proved through voltage current wave and the characteristics of the velocity response as the drive circuit being simplified

• Proceedings of the KIPE Conference
• /
• 2000.07a
• /
• pp.429-433
• /
• 2000

Recently the demand of motor for industrial household machinery is increasing. As Switching devices and control technology are progressing so the use of BLDC Motor is increasing But 3-Phase BLDC Motor generally used has pulsating torque and speed variation in commutation so the range of it's application is limited high speed application Especially to solve these problems it is necessary to increase phase to Motor so study of Poly-Phase BLDC Motor is progressing. In this paper we designed 7-Phase BLDC Motor drive system and MSTC(Minimum Switching Time Controller)

• Proceedings of the KIEE Conference
• /
• 2003.04a
• /
• pp.258-261
• /
• 2003

This paper is a studying of the vector control of AC servo motor using a high performance DSP(TMX320F2812). This DSP has many special peripheral circuits to drive a AC Servo motor as AD converter, QEP and so on. It makes us reduce the time of developing a control system and also can be simple size controller. We use vector control algorithm for instantaneous torque control and SVPWM algorithm by offset voltage methods.