• Title/Summary/Keyword: Controller gain tuning

Search Result 208, Processing Time 0.022 seconds

A Study on the Active Vibration Isolator PID Auto-tuning Using PSO Algorithm (PSO알고리즘을 활용한 능동 제진 시스템 PID 오토 튜닝에 관한 연구)

  • An, Il Kyun;Huh, Heon;Kim, Hyo-Young;Kim, Kihyun
    • Journal of the Semiconductor & Display Technology
    • /
    • v.21 no.4
    • /
    • pp.59-64
    • /
    • 2022
  • Vibration is one of the factors that degrades the performance of equipment and measurement equipment used in high-tech industries such as semiconductors and display. The vibration isolator is classified into passive type and active type. The passive vibration isolator has the weakness of insufficient vibration isolation performance in the low frequency band, so an active vibration control system that can overcome these problems is used recently. In this paper, PID controller is used to control the active vibration isolator. Methods for setting the gain of the PID controller include the Zeigler-Nichols method, the pole placement method. These methods have the disadvantage of requiring a lot of time or knowing the system model accurately. This paper proposes the gain auto tuning method of the active vibration isolator applied with the PSO algorithm, which is an optimization algorithm that is easy to implement and has stable convergence performance with low calculations. It is expected that it will be possible to improve vibration isolation performance and reduce the time required for gain tuning by applying the proposed PSO algorithm to the active vibration isolator.

Control of the pressurized water nuclear reactors power using optimized proportional-integral-derivative controller with particle swarm optimization algorithm

  • Mousakazemi, Seyed Mohammad Hossein;Ayoobian, Navid;Ansarifar, Gholam Reza
    • Nuclear Engineering and Technology
    • /
    • v.50 no.6
    • /
    • pp.877-885
    • /
    • 2018
  • Various controllers such as proportional-integral-derivative (PID) controllers have been designed and optimized for load-following issues in nuclear reactors. To achieve high performance, gain tuning is of great importance in PID controllers. In this work, gains of a PID controller are optimized for power-level control of a typical pressurized water reactor using particle swarm optimization (PSO) algorithm. The point kinetic is used as a reactor power model. In PSO, the objective (cost) function defined by decision variables including overshoot, settling time, and stabilization time (stability condition) must be minimized (optimized). Stability condition is guaranteed by Lyapunov synthesis. The simulation results demonstrated good stability and high performance of the closed-loop PSO-PID controller to response power demand.

퍼지 논리를 이용한 슬라이딩 모드 제어기의 인자 자동 튜닝

  • Ryu, Se-Hee;Park, Jahng-Hyon
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.7 no.12
    • /
    • pp.973-979
    • /
    • 2001
  • Sliding mode control guarantees robustness in the presence of modeling uncertainties and external disturbances. However, this can be obtained at the cost of high control activity that may lead to chattering As one way to alleviate this problem a boundary layer around sliding surface is typically used. In this case the selection of controller gain, control ban width and boundary layer thickness is a crucial problem for the trade-off between tracking error and chattering. The parameter tuning is usually done by trail-and-error in practice causing significant effort and time. An auto tuning method based on fuzzy rules is proposed in the paper in this method tracking error and chattering are monitored by performance indices and the controller tunes the design parameters intelligently in order to compromise both indices. To demonstrate the efficiency of the propose method a mass-spring translation system and a roboic control system are simulated and tested It is shown that the proposed algorithm is effective to facilitae the parameter tuning for sliding mode controllers.

  • PDF

Offset elimination in adaptive control (적응제어에서의 오프셋 영향 제거)

  • 최두환;김영철;양홍식
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1988.10a
    • /
    • pp.236-241
    • /
    • 1988
  • This note considers the class of controllers with integral action which arise directly from appropriate system models. Via internal model principle approach, a corresponding class of self-tuning controller is shown to have both integral action in controller and offset removal in the tuning algorithm. The key idea is to constrain the estimator in each step in order to ensure that dc gain of feedforward and feedback polynomial of adaptive controller are always equal, thus allowing the loop integrator to work properly.

  • PDF

Tension Control in Web Transport System using Direct Self-tuning Regulator (직접 STR을 이용한 웹 이송 시스템에서의 장력제어)

  • 오기석;권태종;한창수;강남기;조형진
    • Proceedings of the Korean Society of Precision Engineering Conference
    • /
    • 1996.11a
    • /
    • pp.236-242
    • /
    • 1996
  • The purpose of this paper is to study the tension control in a web transport system. Direct self-tuning regulator method was applied to tension controller and variable-gain PID control algorithm was applied to web speed controller. The designed controllers compensated for the time-varying parameters and tracked reference tension in process speed changing. The simulation shows that direct STR tension controller improves tension control performance in comparison with other controllers.

  • PDF

Active Vibration Control of Plates Using Filtered Velocity Feedback Controllers (Filtered Velocity Feedback 제어기를 이용한 평판 능동진동제어)

  • Shin, Chang-Joo;Hong, Chin-Suk;Jeong, Weui-Bong
    • Transactions of the Korean Society for Noise and Vibration Engineering
    • /
    • v.21 no.10
    • /
    • pp.940-950
    • /
    • 2011
  • This paper reports a filtered velocity feedback(FVF) controller, which is an alternative to direct velocity feedback(DVFB) controller. The instability problems at high frequencies due to non-collocated sensor/actuator configuration with the DVFB can be alleviated by the proposed FVF controller. The FVF controller is designed to filter out the unstable high frequency response. The dynamics of a clamped plate under forces and moments and the FVF controllers are formulated. The stability of the control system and performance are investigated with the open loop transfer function(OLTF). It is found that the FVF controller has a higher gain margin than the corresponding DVFB controller owing to the rapid roll-off behavior at high frequencies. Although the gain margin cannot be fully utilized because of the enhancement at the high frequencies, the vibration at the modes lower than the tuning frequency is well controlled. This performance of the FVF controller is shown to be improved from that of the DVFB controller. It is, however, noted that the stability around the tuning frequency is very sensitive so that the enhancement in vibration level should be followed. The reduction performance at low frequencies using the FVF controller should be compromised with the enhancement in the vibration at high frequencies while designing the controller.

Fuzzy gain scheduling for the gain tuning of PID controller and its application (PID 제어기의 게인 조절을 위한 퍼지 게인 스케쥴링 기법 및 응용)

  • 전재홍;이진국;김병화;안현식;김도현
    • Journal of the Korean Institute of Telematics and Electronics S
    • /
    • v.35S no.1
    • /
    • pp.60-67
    • /
    • 1998
  • In this paper, a gain scheduling method of PID controller is proposed using fuzzy logic for balancing control of an inverted pendulum. First, gains of PID controller are calculated using pole-placement technique for the linearized model of an inverted pendulum and these gains are modified by fuzzy logic throughout control operations. A PD controller is used by switching near the set-point to improve the performance. It is illustrated by simulations that the proposed hybrid fuzzy control method yidels smaller rising time and overshoot compared to the fixed-gain PID controller or fuzzy logic-based only PID controller.

  • PDF

HW/SW Co-design of a Visual Driver Drowsiness Detection System

  • Yu, Tian;Zhai, Yujia
    • Journal of Convergence Society for SMB
    • /
    • v.4 no.1
    • /
    • pp.31-39
    • /
    • 2014
  • PID auto-tuning controller was designed via fuzzy logic. Typical values such as error and error derivative feedback were changed as heuristic expressions, and they determine PID gain through fuzzy logic and defuzzification process. Fuzzy procedure and PID controller design were considered separately, and they are combined and analyzed. Obtained auto-tuning PID controller by Fuzzy Logic showed the ability for less than 3rd order plant control. We also applied to reference tracking problem with the designed auto-tuning scheme.

  • PDF

Rule-based controller by Modified Ziegler-Nichols tuning (개선된 Ziegler-Nichols 동조에 의한 규칙기반 PID제어기 설계)

  • Lee, Won-Hyok;Choi, Jeong-Nae;Kim, Jin-Kwon;Hwang, Hyung-Soo
    • Proceedings of the KIEE Conference
    • /
    • 1998.07b
    • /
    • pp.775-777
    • /
    • 1998
  • The Ziegler-Nichols parameter tuning has been widely known as a fairly heuristic method to good determine setting of PID controllers, for a wide range of common industrial processes. We extract process knowledge required for rule base controller through tuning experiment and simulation study, such as set point weighting and normalised gain and dead time of process. In this paper, we presents a rule base PID controller by extracted process knowledge and the modified Ziegler-Nichols tuning. Computer simulation are provided demonstrate the feasibility of this approach.

  • PDF

Intelligent Tuning Of a PID Controller Using Immune Algorithm (면역 알고리즘을 이용한 PID 제어기의 지능 튜닝)

  • Kim, Dong-Hwa
    • The Transactions of the Korean Institute of Electrical Engineers D
    • /
    • v.51 no.1
    • /
    • pp.8-17
    • /
    • 2002
  • This paper suggests that the immune algorithm can effectively be used in tuning of a PID controller. The artificial immune network always has a new parallel decentralized processing mechanism for various situations, since antibodies communicate to each other among different species of antibodies/B-cells through the stimulation and suppression chains among antibodies that form a large-scaled network. In addition to that, the structure of the network is not fixed, but varies continuously. That is, the artificial immune network flexibly self-organizes according to dynamic changes of external environment (meta-dynamics function). However, up to the present time, models based on the conventional crisp approach have been used to describe dynamic model relationship between antibody and antigen. Therefore, there are some problems with a less flexible result to the external behavior. On the other hand, a number of tuning technologies have been considered for the tuning of a PID controller. As a less common method, the fuzzy and neural network or its combined techniques are applied. However, in the case of the latter, yet, it is not applied in the practical field, in the former, a higher experience and technology is required during tuning procedure. In addition to that, tuning performance cannot be guaranteed with regards to a plant with non-linear characteristics or many kinds of disturbances. Along with these, this paper used immune algorithm in order that a PID controller can be more adaptable controlled against the external condition, including moise or disturbance of plant. Parameters P, I, D encoded in antibody randomly are allocated during selection processes to obtain an optimal gain required for plant. The result of study shows the artificial immune can effectively be used to tune, since it can more fit modes or parameters of the PID controller than that of the conventional tuning methods.