Control of a pressurized light-water nuclear reactor two-point kinetics model with the performance index-oriented PSO

Mousakazemi, Seyed Mohammad Hossein Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.8

Metaheuristic algorithms can work well in solving or optimizing problems, especially those that require approximation or do not have a good analytical solution. Particle swarm optimization (PSO) is one of these algorithms. The response quality of these algorithms depends on the objective function and its regulated parameters. The nonlinear nature of the pressurized light-water nuclear reactor (PWR) dynamics is a significant target for PSO. The two-point kinetics model of this type of reactor is used because of fission products properties. The proportional-integral-derivative (PID) controller is intended to control the power level of the PWR at a short-time transient. The absolute error (IAE), integral of square error (ISE), integral of time-absolute error (ITAE), and integral of time-square error (ITSE) objective functions have been used as performance indexes to tune the PID gains with PSO. The optimization results with each of them are evaluated with the number of function evaluations (NFE). All performance indexes achieve good results with differences in the rate of over/under-shoot or convergence rate of the cost function, in the desired time domain.

Research on Nonlinear Sensitive Medical Joint Automation

Somayeh Jowkar,Mohammad Taghavi,Ehsan pouladi,Meysam Esmaeili 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.7

The main objective in this research is comparative study between three types of control methodology: proportional-integral-derivative (PID) controller, computed torque controller (CTC), and sliding mode controller (SMC) with application to active multi degrees of freedom actuators. PID controller is a linear model-free controller; to control of nonlinear system based on PID controller system linearization is the main challenge. Computed torque controller and sliding mode controller are model-base and nonlinear. In order to design computed torque controller, an accurate dynamic model of nonlinear system plays an important role. To modelling an accurate dynamic system, modelling of complex parameters is needed to form the structure of system’s dynamic model. It may be very difficult to include all the complexities in the system dynamic model. Computed torque controller is work very good in certain condition but in uncertainty, PID and CTC have some challenges. Conventional switching sliding mode controller is an apparent nominates to design a controller using the bounds of the uncertainties and external disturbance. In partly uncertainties, sliding mode controller is more robust than CTC and PID. In this paper these three types controller are test in MATLAB/SIMULINK.

Design Neuro-Fuzzy On-line Tuning Controller for Sensitive Dental Actuator

Ehsan pouladi,Farzin Piltan,Narges Gholami Mozafari,Somayeh Jowkar,Ali Roshanzamir,Nasri Sulaiman 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.12

In this research, Neuro-fuzzy fuzzy feedback linearization controller is recommended for sensitive three degrees of freedom dental actuator. To design stable high quality controller conventional feedback linearization controller is recommended. Conventional feedback linearization (FL) controller is a nonlinear, stable, and reliable controller. This controller is model-base and in uncertain situation, model-base is challenge. The nonlinear dynamic formulation problem in highly nonlinear system has been solved by fuzzy logic theorem. Fuzzy logic theory is used to estimate the system dynamics. This type of controller is free of mathematical dynamic parameters of plant. When system works in uncertainty, the nonlinearity term of system is not equal to equivalent term of FL controller. According to this technique, the number of rule base is reduced with respect to have PID like fuzzy logic controller. The simulation results show that the proposed controller works well in various situations. Based on result and discussion, proposed method can eliminate chattering in certain and uncertain condition. This controller reduces the level of energy due to the torque performance. This controller removed the fluctuation in presence of uncertainties.

비정수 차수를 갖는 비례적분미분제어법과 가우시안 혼합모델을 이용한 연속아연도금라인에서의 전자기 제진제어 기술

구배영(Bae-Young Koo),원상철(Sang-Chul Won) 제어로봇시스템학회 2015 제어·로봇·시스템학회 논문지 Vol.18 No.1

This paper proposes a fractional-order PID (Proportional-Integral-Derivative) control used electromagnetic strip stabilization controller in a continuous galvanizing line. Compared to a conventional PID controller, a fractional-order PID controller has integration-fractional-order and derivation-fractional-order as additional control parameters. Thanks to increased control parameters, more precise controller adjustment is available. In addition, accurate transfer function of a real system generally has a fractional-order form. Therefore, it is more adequate to use a fractional-order PID controller than a conventional PID controller for a real world system. Finite element models of a 1200×2000×0.8mm strip, which were extracted using a commercial software ANSYS were used as simulation plants, and Gaussian mixture models were used to find optimized control parameters that can reduce the strip vibrations to the lowest amplitude. Simulation results show that a fractional-order PID controller significantly reduces strip vibration and transient response time than a conventional PID controller.

High-dimensional Multiple Fractional Order Controller for Automatic Generation Control and Automatic Voltage Regulation

Linfei Yin,Xinghui Cao,Lichun Chen 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.12

A fractional-order proportional-integral-derivative (FO-PID) with two more fractional-order operations can achieve higher control performance than a proportional-integral-derivative (PID). Besides, an active disturbance rejection controller (ADRC) and a fractional-order active disturbance rejection controller (FO-ADRC) with more input information can obtain higher control performance than a PID, an FO-PID. To obtain higher control performance with more information and more fractional-order operations, this paper proposes a high-dimensional multiple fractional-order controller (HDMFOC). The HDMFOC cascades multiple high-dimensional controllers with fractional-order for a controller. The numerical simulations of an automatic generation control (AGC) system and an automatic voltage regulation (AVR) system compare the proposed approach with four other algorithms, i.e., the PID, FO-PID, ADRC, and FO-ADRC. Then, the HDMFOC achieves the highest control performances for AGC and AVR of power systems through multiple dimensional information and multiple fractional-order operations.

비정수 차수를 갖는 비례적분미분제어법과 가우시안 혼합모델을 이용한 연속아연도금라인에서의 전자기 제진제어 기술

구배영,원상철,Koo, Bae-Young,Won, Sang-Chul 제어로봇시스템학회 2015 제어·로봇·시스템학회 논문지 Vol.21 No.8

This paper proposes a fractional-order PID (Proportional-Integral-Derivative) control used electromagnetic strip stabilization controller in a continuous galvanizing line. Compared to a conventional PID controller, a fractional-order PID controller has integration-fractional-order and derivation-fractional-order as additional control parameters. Thanks to increased control parameters, more precise controller adjustment is available. In addition, accurate transfer function of a real system generally has a fractional-order form. Therefore, it is more adequate to use a fractional-order PID controller than a conventional PID controller for a real world system. Finite element models of a $1200{\times}2000{\times}0.8mm$ strip, which were extracted using a commercial software ANSYS were used as simulation plants, and Gaussian mixture models were used to find optimized control parameters that can reduce the strip vibrations to the lowest amplitude. Simulation results show that a fractional-order PID controller significantly reduces strip vibration and transient response time than a conventional PID controller.

Novel Intelligent Optimization Algorithm Based Fractional Order Adaptive Proportional Integral Derivative Controller for Linear Time Invariant based Biological Systems

Balasaheb Wakchaure Vrushali,Uttam Chaskar 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1

In recent times, the intelligent biological control system in biomedical engineering has been utilized in various applications such as prosthesis control, drug delivery control, blood glucose control, and heart rate regulation. Moreover, the pancreas, gene regulatory network (GRN), and protein are the main sources in the human body system. However, the parameter regulations of these systems are crucial, because the conventional control methods lack the fnest performance, provoking a lot of errors. With an advanced control method, the parameters of the biological system can regulate as per the level to avoid serious conditions. Therefore, in this research, a novel self-constructing intelligent emperor penguin (SIEP) algorithm based fractional-order adaptive proportional integral derivative (FAPID) controller is proposed to regulate the parameters of the system. Here, the FAPID controller gain parameters are efectively tuned by the SIEP algorithm. This proposed SIEP-FAPID controller regulates the constraints of linear time-invariant (LTI) based biological systems such as the pancreas, GRN, and protein formation as per the required level. Moreover, the stability of the controller is studied using the discrete Lyapunov stability analysis function. The quality of the control function has been improved using this proposed approach thus the fnest gain and reduced error percentage was obtained. Furthermore, the proposed simulation outcomes are compared with various conventional control approaches which are validated for proving the enhanced controller function under external disturbances. The comparison shows that the proposed SIEP algorithm in the FAPID controller has attained 0.1% less error while comparing with the existing controllers.

Variable PID Gain Tuning Method Using Backstepping Control With Time-Delay Estimation and Nonlinear Damping

Jun Young Lee,Maolin Jin,Pyung Hun Chang IEEE 2014 IEEE transactions on industrial electronics Vol.61 No.12

<P>Proportional-integral-derivative (PID) controllers with constant gains seldom meet desired performance when system dynamics rapidly changes due to unknown disturbances. A gain tuning method for variable PID controllers is presented in this paper. First, the equivalence relationship between a discrete PID control and a discrete backstepping control with time-delay estimation and nonlinear damping is clarified, and the variable gains of the PID controller are automatically tuned with a nonlinear damping component. The nonlinear damping terms directly affect system performance and make PID gains vary. The system performance of a variable PID controller with the proposed method is compared with that of a constant PID controller. The experimental results show that the proposed method is adaptive, robust, and effective.</P>

Design of RCGA-based PID controller for two-input two-output system

이윤형,소명옥,권석경 한국마린엔지니어링학회 2015 한국마린엔지니어링학회지 Vol.39 No.10

Proportional-integral-derivative (PID) controllers are widely used in industrial sites. Most tuning methods for PID controllers use an empirical and experimental approach; thus, the experience and intuition of a designer greatly affect the tuning of the controller. The representative methods include the closed-loop tuning method of Ziegler-Nichols (Z-N), the C-C tuning method, and the Internal Model Control tuning method. There has been considerable research on the tuning of PID controllers for single-input single-output systems but very little for multi-input multi-output systems. It is more difficult to design PID controllers for multi-input multi-output systems than for single- input single-output systems because there are interactive control loops that affect each other. This paper presents a tuning method for the PID controller for a two-input two-output system. The proposed method uses a real- coded genetic algorithm (RCGA) as an optimization tool, which optimizes the PID controller parameters for minimizing the given objective function. Three types of objective functions are selected for the RCGA, and each PID controller parameter is determined accordingly. The performance of the proposed method is compared with that of the Z-N method, and the validity of the proposed method is examined.

디지털 제어 방식에 의한 온실의 환기제어 시뮬레이션

문성동,이상옥 三陟大學校 産業科學技術硏究所 2003 産業科學技術硏究論文集 Vol.8 No.2

Heating control system of the greenhouse has been achieved by a simple ON-OFF control method conventionally. It has such disadvantages as decreasing of control accuracy and cycling of control response induced by- wide dead band. To solve these problems of OK-OFF control. serial evaluations for establishment of mathematical model of the heating control system of greenhouse, identification of the recursive model, analysis of characteristics of Proportional(P) control, Proportional Integrated Derivative(PID) control and Model Reference Adaptive Control(MRAC) based on digital control methods. respectively. and simulation and evaluation of the investigated control system were carried out. A computer system was used for measuring the weather condition and controlling the power devices. The experimental greenhouse consisted of three gutter-connected round roof. covered with two layer polyethylene film, and equipped an air-heater with an oil burner.