• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 1999.11a
• /
• pp.282-286
• /
• 1999

This paper describes the implementation of a fuzzy temperature measuring & control system to control the water temperature in plant. This system consisted of mainly three parts; sensing part, control part that includes a control algorithms introduced the fuzzy theory, and actuating part. The control algorithms of control part are utilized a look-up table method and firmware technique using one-chip microprocessor(89C52). For evaluating the performance of a fuzzy control system, the experiment results of a fuzzy controller are compared with these of a conventional PID controller which provides an auto-tuning function. The experiment results show that the proposed controller has a good control performance and is robust to external disturbance.

• Proceedings of the KIEE Conference
• /
• 2003.07d
• /
• pp.2230-2232
• /
• 2003

One of the important problems in a control system design is the requirement that the system should have adequate relative stability. In this paper, We proposed a tuning algorithm PI controller for first order plus dead time system. It is determined the domain of the PI control parameters by Routh - Hurwitz criterion, and we tune parameters of the PI controller using genetic algorithm. A numerical example is also given to illustrate the method.

• Proceedings of the KIEE Conference
• /
• 1996.07b
• /
• pp.661-663
• /
• 1996

The thyristor controlled series compensator can vary the impedance continuously to levels below and up to the line's natural impedance, thus enabling transmission line capability to be increased and power flow to be controlled. The dynamic performance of TCSC to increase the power system damping is mainly analyzed in this paper. The TCSC controller used here is of the PID type and the input signal to the controller is the active power flow through the TCSC. The TCSC parameters are determined so as to minimize the modal performance measure for duping of power system oscillations.

• Proceedings of the KIEE Conference
• /
• 1993.07b
• /
• pp.707-710
• /
• 1993

In this paper, we design the high accuracy speed controller of an induction motor by the Fuzzy control algorithms, which recently is invoking the remarkable interest. In order to improve the dynamic resposes such as the steady state error, the reaching tine and the overshoot, the adjustment techniques for optimization of three scale factors are presented. Comparing with conventional PID control, the usefulness of proposed Fuzzy controller will be proved by the simulations.

• Proceedings of the KIEE Conference
• /
• 1993.07b
• /
• pp.870-872
• /
• 1993

With the using the microprocessor, this paper presents DC servo motor control characteristics by Self-Tuning PID controller and considers position control response with controller of DC servo motor for robot drive. As this system is supported by a channel, it is considered to enough application effect in industry region such as needing multi joint robot and precision parallel driving.

• Journal of the Korean Society for Precision Engineering
• /
• v.17 no.1
• /
• pp.110-119
• /
• 2000

This paper presents simple and effective nonlinear friction compensation methods. When the direction of position command reverses, the integrator output of the PID controller does not change the sign of its output instantaneously, due to friction at zero velocity, i.e. stiction resulting tracking errors, that results in continuous push even though the command direction has been changed. To overcome this problem, we attempt to reverse the sign of the integrator output as the sign of velocity changes. The effectiveness of this approach is demonstrated by experiments on a 3-PRPS (Prismatic-Revolute-Prismatic-Shperical joints) in-parallel 6-D.O.F manipulator. The control strategy has been analyzed for stability. Also discussed are disturbance observer and velocity observer approaches for friction compensation.

• Advances in Energy Research
• /
• v.8 no.3
• /
• pp.145-153
• /
• 2022

Recent concerns about rising fuel prices and greenhouse gas emissions have focused attention on alternative energy sources, particularly in the transport sector. Transportation consumes 40% of overall fuel usage. As a result, a growing majority of researches on Electric Vehicles (EVs) and their Energy Management Systems (EMS) have been done. In order to enhance the performance and to meet the needs of drivers, more information regarding the EMS is needed. A new Energy Management System is proposed using a FOPID controller. To put the concept into practice, state equations are utilised. The fifth-order state-space model under study is a linked model with several inputs and outputs and the transfer matrices are calculated for decoupling the system. Utilizing these transfer matrices to decouple the system and FOPID controller is used to tune the system. The tuned parameters are minimized using a Particle Swarm Optimization (PSO) approach with Integral Time Absolute Error (ITAE) as the goal. When the suggested FOPID system's results are compared to those of PID-controlled systems, a sizable improvement is observed, which is explained by the results.

• Journal of Wind Energy
• /
• v.4 no.2
• /
• pp.17-24
• /
• 2013

Idealized PID-controlled rotor-speed error for blade pitch control of wind turbines responds as a second-order system with natural frequency and damping ratio for closed-loop system. RISO National Laboratory has recommended specific natural frequency(=0.6 rad/s) and damping ratio(=0.7) for 2 MW wind turbine. The baseline controller for 5 MW wind turbine of NREL(National Renewable Energy Laboratory) is designed based on the same values of RISO recommendation. This study investigates the effect of the natural frequency and damping ratio of the controller for NREL 5 MW wind turbine. It is confirmed that RISO recommendation shall be tuned for each wind turbine.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.17 no.1
• /
• pp.112-115
• /
• 2003

Robust control for servo control system in needed according to the highest precision of industrial automation. However, when a servo control system has an effect of disturbance, it is very difficult to guarantee the robustness of control system. As a compensation method solving this problem in this paper, Hybrid control method of Main controller(PIU)-Differential Supervisory controller is presented. Main controller is operated as a feedback controller. Differential Supervisory controller as a assistant controller is operated when state in unstable disturbance. The robust control function of Differential Supervisory controller is demonstrated by Speed control of Motor.

• Proceedings of the KIEE Conference
• /
• 2005.10b
• /
• pp.158-160
• /
• 2005

This paper presents a new approach to the problem of designing a cascaded three-parameters controller for a given linear time invariant (LTD plant in unity feedback system. We consider a proportional-integral-derivative (PID) and a first-order controller with specified overshoot and settling time. This problem is difficult to solve because there may be no analytical solution due to the use of low-order controller and furthermore. the zeros of controller just appear in the zeros of feedback system. The key idea of our method is to impose a constraint on the controller parameters so that the zeros of resulting controller are distant from the dominant pole of closed-loop system to the left as far as the given interval. Two methods realizing the idea are suggested. We have employed the characteristic ratio assignment (CRA) in order to deal with the time response specifications. It is noted that the proposed methods are accomplished only in parameter space. Several illustrative examples are given.