• Title, Summary, Keyword: PID controller

Search Result 1,658, Processing Time 0.092 seconds

The PSO-PID Speed Controller Design for the BLDC Motor (BLDC 모터를 위한 PSO-PID 속도 제어기 설계)

  • Kim, Seung-Ki;Han, Byung-Jo;Yang, Hai-Won
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.60 no.9
    • /
    • pp.1777-1782
    • /
    • 2011
  • Brushless DC motors applied in many control systems because of the good respose characteristic and the easy control characteristic. The speed control of the BLDC motors is important in the systems. This paper has designed PSO-PID speed controller for the speed control of BLDC motors. The PSO algorithm optimized the parameters of the PID controller in the PSO-PID speed controller. The several methods obtained the optimal inertia weight of the PSO algorithm by comparison. The optimal inertia weight of the PSO algorithm optimized the PSO-PID speed controller for BLDC motors. This paper confirmed the performance of proposed PSO-PID speed controller through simulation results.

Mamdani Fuzzy PID Controller for Processes with Small Dead Times

  • Jongkol, Ngamwiwit;Choi, Byoung-Wook
    • 제어로봇시스템학회:학술대회논문집
    • /
    • /
    • pp.45.1-45
    • /
    • 2001
  • This paper proposes a Mamdani fuzzy PID controller for controlling a process with small dead time. The controller composes of a parallel structure of fuzzy PI controller and fuzzy PD controller. Each controller has two inputs, error and change of error. Hence, the control signal of the proposed controller is the average value of the output of the fuzzy PI and PD controllers. The Mamdani fuzzy PID controller is easily to be adjusted to meet the desired control system performances both in transient state and steady state. The simulation results of the proposed Mamdani fuzzy PID controller by using the same parameters (proportional gain, integral time and derivative time) as the conventional PID controller are shown. The response of the Mamdani fuzzy PID control system is faster than the conventional PID control system. Both system responses have ...

  • PDF

A Study on Anti-Sway of Crane using Neural Network Predictive PID Controller (Anti-Sway에 관한 연구)

  • 손동섭;이진우;민정탁;이권순
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • /
    • pp.219-227
    • /
    • 2002
  • In this paper, we designed neural network predictive PID controller to control sway happened in transfer of trolley for automatic travel control system. We include dynamic character of nonlinear system, and mathematical expression veny simple used neural network. When various establishment location and surrounding disturbance were approved based on mathematical modelling of crane, controller designed to become effective control location error and vibration angle of two control variables that simultaneously can predictive control. Neural network predictive PID controller produced parameter of PID controller using neural network self-tuner. Neural network self-tuner's input used crane's output and neural network predictive output. Neural network self-tuner using error back propagation algorithm. We analyzed control performance comparison through computer simulation when applied disturbance about sway of location and angle in transfer of crane. The results show that the proposed neural network predictive PID controller has better performances than general PID controller, neural network PID controller.

  • PDF

Adaptive-Tuning of PID Controller using Self-Recurrent Neural Network (자기순환 신경망을 이용한 PID 제어기의 적응동조)

  • 박광현;허진영;하홍곤
    • Proceedings of the Korea Institute of Convergence Signal Processing
    • /
    • /
    • pp.121-124
    • /
    • 2001
  • In industrial actual control system, PID controller has been used with its high delicate control system in position control system. PID controller has simple structure and superior ability in several characteristics. When the response of system is changed by delay time, variable load , disturbances and external environment, control gain of PID controller must be readjusted on the system dynamic characteristics. Therefore, a control ability of PID controller is degraded when th control gain is inappropriately determined. When the response characteristic of system is changed under a condition, control gain of PID controller must be changed adaptively to be a waited response of system. In this paper an adaptive-tuning type PID controller is constructed by self-recurrent Neural Network(SRNN). applying back-propagation(BP) algorithm. Form the result of computer simulation in the proposed controller, its usefulness is verified.

  • PDF

A Fuzzy Self-Tuning PID Controller with a Derivative Filter for Power Control in Induction Heating Systems

  • Chakrabarti, Arijit;Chakraborty, Avijit;Sadhu, Pradip Kumar
    • Journal of Power Electronics
    • /
    • v.17 no.6
    • /
    • pp.1577-1586
    • /
    • 2017
  • The Proportional-Integral-Derivative (PID) controller is still the most widespread control strategy in the industry. PID controllers have gained popularity due to their simplicity, better control performance and excellent robustness to uncertainties. This paper presents the optimal tuning of a PID controller for domestic induction heating systems with a series resonant inverter for controlling the induction heating power. The objective is to design a stable and superior control system by tuning the PID controller with a derivative filter (PIDF) through Fuzzy logic. The paper also compares the performance of the Fuzzy PIDF controller with that of a Ziegler-Nichols PID controller and a fine-tuned PID controller with a derivative filter. The system modeling and controllers are simulated in MATLAB/SIMULINK. The results obtained show the effectiveness and superiority of the proposed Fuzzy PID controller with a derivative filter.

Optimum Tuning of PID-PD Controller considering Robust Stability and Sensor Noise Insensitivity (센서 잡음 저감도 및 안정-강인성을 고려한 PID-PD 제어기의 최적 동조)

  • Kim, Chang-Hyun;Lim, Dong-Kyun;Suh, Byung-Suhl
    • Journal of the Institute of Electronics Engineers of Korea SC
    • /
    • v.44 no.1
    • /
    • pp.19-24
    • /
    • 2007
  • In this paper, we propose a tuning method of PID-PD controller to satisfy design specifications in frequency domain as well as time domain. The proposed tuning method of PID-PD controller consists of the convex set of PID and PI-PD controller. PID-PD controller controls the closed-loop response to be located between the step responses, and Bode magnitudes of closed-loop transfer functions controlled by PID and PI-PD controller. The controller is designed by the optimum tuning method to minimize the proposed specific cost function subject to sensor noise insensitivity and robust stability. Its effectiveness is examined by the case study and analysis.

2-DOF PID Control for the Steam Temperature Control of Thermal Power Plant

  • Kim, Dong-Hwa;Hong, Won-Pyo;Jung, Chang-Gi;Lee, Seung-Hak
    • Proceedings of the KIEE Conference
    • /
    • /
    • pp.2123-2125
    • /
    • 2001
  • In thermal power plant, the efficiency of a combined power plant with a gas turbine increases, exceeding 50%, while the efficiency of traditional steam turbine plants is approximately 35% to 40%. Up to the present time, the PID controller has been used to operate this system. However, it is very difficult to achieve an optimal PID gain without any experience, since the gain of the PID controller has to be manually tuned by trial and error procedures. This paper focuses on the neural network tuning of the 2-DOF PID controller with a separated 2-DOF parameter (NN-Tuning 2-DOF PID controller), for optimal control of the Gun-san gas turbine generating plant in Seoul. Korea. In order to attain optimal control, transfer function and operating data from start-up, running, and stop procedures of the Gun-san gas turbine have been acquired, and a designed controller has been applied to this system. The results of the NN-Tuning 2-DOF PID are compared with the PID controller and the conventional 2-DOF PID controller tuned by the Ziegler-Nichols method through experimentation. The experimental results of the NN-Tuning 2-DOF PID controller represent a more satisfactory response than those of the previously-mentioned two controller.

  • PDF

Self-Tuning PID Controller Based on PLC

  • Phonphithak, A.;Pannil, P.;Suesut, T.;Masuchun, R.;Julsereewong, P.
    • 제어로봇시스템학회:학술대회논문집
    • /
    • /
    • pp.272-276
    • /
    • 2004
  • The conventional PID (Proportional-Integral-Derivative) control technique is widely used for the process control in many industries since it is simple in structure and provides the good response. Nowadays, this control technique has been developed on the Programmable Logic Controller (PLC) to use for the process control loop. However, using this technique is difficult when tuning the PID parameters ($K_p$, $T_i$ and $T_d$) to achieve the best response. Moreover, trial-and-error procedure along with the operator experiences are required to obtain the best results when tuning the PID controller parameters. This paper proposes the self-tuning PID controller based on PLC for the process control in the industries. The proposed self-tuning PID controller uses the PLC-based PID structures to control the process production. The proposed PID tuning utilizes the PLC to synthesize and analyze controller parameter as well as to tune for appropriate parameters using Dahlin method and extrapolation. Experimental results using a self-tuning PID controller to control temperature of the oven show that the controller developed is capable of controlling the process very effectively and provides a good response.

  • PDF

The Design of Auto Tuning Neuro-Fuzzy PID Controller Based Neural Network (신경회로망 기반 자동 동조 뉴로-퍼지 PID 제어기 설계)

  • Kim, Young-Sik;Lee, Chang-Goo
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.7 no.5
    • /
    • pp.830-836
    • /
    • 2006
  • In this paper described an auto tuning neuro-fuzzy PID controller based neural network. The PID type controller has been widely used in industrial application due to its simply control structure, easy of design, and inexpensive cost. However, control performance of the PID type controller suffers greatly from high uncertainty and nonlinearity of the system, large disturbances and so on. In this paper will design to take advantage of neural network fuzzy theory and pid controller auto toning technique. The value of initial scaling factors of the proposed controller were determined on the basis of the conventional PID controller parameters tuning methods and then they were adjusted by using neural network control techniques. This controller simple structure and computational complexity are less, and also application is easy and performance is excellent in system that is strong and has nonlinearity to system dynamic behaviour change or disturbance. Finally, the proposed auto tuning neuro-fuzzy controller is applied to magnetic levitation. Simulation results demonstrated that the control performance of the proposed controller is better than that of the conventional controller.

  • PDF

The Design of Fuzzy P+ID Controller for Brushless DC Motor Speed Control (BLDC 전동기의 속도 제어를 위한 퍼지 P+ID 제어기 설계)

  • Kim, Young-Sik;Kim, Sung-Joong
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.7 no.5
    • /
    • pp.823-829
    • /
    • 2006
  • In this paper presents approaches to the design of a hybrid fuzzy logic proportional plus conventional integral- derivative(fuzzy P+ID) controller in an incremental form. This controller is constructed by using an incremental fuzzy logic controller in place of the proportional term in a conventional PID controller. The PID type controller has been widely used in industrial application due to its simply control structure, easy of design, and inexpensive cost. However, control performance of the PID type controller suffers greatly from high uncertainty and nonlinearity of the system, large disturbances and so on. This paper presents a hybrid fuzzy logic proportional plus conventional integral derivative controller In comparison with a conventional PID controller, only one additional parameter has to be adjusted to tune the Fuzzy P+ID controller. In this case, the stability of a system remains unchanged after the PID controller is replaced by the Fuzzy P+ID controller without modifying the original controller parameters. Finally, the proposed hybrid Fuzzy P+ID controller is applied to BLDC motor drive. Simulation results demonstrated that the control performance of the proposed controller is better than that of the conventional controller.

  • PDF