scholarly journals Analysis of Model-Based Tuning Method of PID Controller for Excitation Systems Considering Measurement Delay

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 939
Author(s):  
Kyoung-Min Choo ◽  
Chung-Yuen Won
Keyword(s):  
Pid Controller ◽  
Measurement Method ◽  
System Model ◽  
Simplified Model ◽  
Pid Controllers ◽  
Voltage Measurement ◽  
Conventional Model ◽  
Tuning Method ◽  
Model Based ◽  
Measurement Delay

In this paper, a model-based tuning method for a PID controller of excitation systems based on a simplified model that considers measurement delay is proposed. The conventional model-based tuning method, which has been studied previously, uses a simplified excitation system model that ignores all the delay components. However, since the rms voltage measurement can take hundreds of milliseconds to calculate depending on the system settings, this delay cannot be ignored when the required response needs to be as fast as the measurement delay. Furthermore, the linearity of the measurement method is not taken into account because the measurement delay has already been ignored. Therefore, in this paper, a simplified model that considers measurement delay and its linearity is proposed, and a model-based tuning method of PID controllers for two kinds of excitation systems is proposed and compared with the conventional method by analysis. To verify the analysis and proposed tuning method, experiments are conducted for both excitation systems.

scholarly journals A Modified 2-DOF Control Framework and GA Based Intelligent Tuning of PID Controllers

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 423
Author(s):  
Gun-Baek So
Keyword(s):  
Disturbance Rejection ◽  
Pid Controller ◽  
Weighting Function ◽  
Pid Controllers ◽  
Set Point ◽  
Tuning Method ◽  
Point Tracking ◽  
Load Disturbance ◽  
Control Framework ◽  
Feedforward Controller

Although a controller is well-tuned for set-point tracking, it shows poor control results for load disturbance rejection and vice versa. In this paper, a modified two-degree-of-freedom (2-DOF) control framework to solve this problem is proposed, and an optimal tuning method for the pa-rameters of each proportional integral derivative (PID) controller is discussed. The unique feature of the proposed scheme is that a feedforward controller is embedded in the parallel control structure to improve set-point tracking performance. This feedforward controller and the standard PID con-troller are combined to create a new set-point weighted PID controller with a set-point weighting function. Therefore, in this study, two controllers are used: a set-point weighted PID controller for set-point tracking and a conventional PID controller for load disturbance rejection. The parameters included in the two controllers are tuned separately to improve set-point tracking and load dis-turbance rejection performances, respectively. Each controller is optimally tuned by genetic algo-rithm (GA) in terms of minimizing the IAE performance index, and what is special at this time is that it also tunes the set-point weighting parameter simultaneously. The simulation results performed on four virtual processes verify that the proposed method shows better performance in set-point tracking and load disturbance rejection than those of the other methods.

scholarly journals PID Controller Tuning using ACO Algorithm for AVR Systems

2020 ◽  
Vol 9 (3) ◽  
pp. 560-563 ◽  
Keyword(s):  
Pid Controller ◽  
Optimization Technique ◽  
Step Response ◽  
Pid Controllers ◽  
Tuning Method ◽  
Avr System ◽  
Disturbance Response ◽  
Pid Controller Tuning ◽  
Control Response ◽  
Optimal Gains

This paper features an effective technique to device the parameters of PID controllers for utilization together with an Automatic Voltage Regulator System (AVR). The quintessential goal is to acquire a good load disturbance response by minimizing the performance index/(Integral time square error). Simultaneously, the transient response is assured by limiting maximum overshoot, settling time and rise time of the step response to minimal values. For achieving these goals, optimum and quick tuning of the parameters (Kp, Ki, and Kd) is essential. In an effort to accomplish the aforementioned, the paper put forth an algorithm developed based on the Ant Colony Optimization technique (ACO) to decide optimal gains of PID controller and for getting optimal performance within an AVR system. Simulation results establish superior control response may be accomplished in comparison with methods like conventional tuning method (trial and error) and built-in genetic algorithm (GA) took-kit.e.

Optimisation of a PID Controller for an Inverted Pendulum Using the Bees Algorithm

2015 ◽  
Vol 789-790 ◽  
pp. 1039-1044 ◽  
Author(s):  
Muhammed Arif Sen ◽  
Mete Kalyoncu
Keyword(s):  
Pid Controller ◽  
Inverted Pendulum ◽  
Controller Design ◽  
Stable State ◽  
Bees Algorithm ◽  
Pid Controllers ◽  
Pendulum System ◽  
Tuning Method ◽  
Inverted Pendulum System ◽  
Optimal Gains

The inverted pendulum system is a challenging control problem in the control theory, which continually moves away from a stable state. The paper presents the design of a Proportional-Integral-Derivative (PID) controller for a single-input multi-output (SIMO) inverted pendulum system and using the Bees Algorithm (BA) to obtain optimal gains for PID controllers. The Bees Algorithm optimizes the gains so that the controller can move the cart to a desired position with the minimum amount of the change in the pendulum’s angle from the vertically upright position during the movement. The tuning aim is to minimize the control responses of the cart’s position and the pendulum’s angle in time domain. MATLAB/Simulink simulation has been performed to demonstrate that the effects on the system performance of PID controllers with optimal gains. The obtained results show that the tuning method by using the Bees Algorithm produced PID controllers successfully within the controller design criteria. Following a description of the inverted pendulum system and the Bees Algorithm, the paper gives the obtained simulation results for the system demonstrating the efficiency of the design.

scholarly journals Advanced Fireworks Algorithm and Its Application Research in PID Parameters Tuning

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Jun-jie Xue ◽  
Ying Wang ◽  
Hao Li ◽  
Xiang-fei Meng ◽  
Ji-yang Xiao
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Transfer Functions ◽  
Gaussian Function ◽  
Optimization Method ◽  
Pid Controllers ◽  
Fireworks Algorithm ◽  
Extremal Optimization ◽  
Tuning Method ◽  
Parameters Tuning

Proportional-Integral-Derivative (PID) controller is one of the most widely used controllers for its property of simplicity and practicability. In order to design high-quality performances PID controllers, an Advanced Fireworks (AFW) algorithm based on self-adaption principle and bimodal Gaussian function is proposed, which is built to optimize the PID controller by parameters tuning. Firstly, a compound index of optimization performance is formulated, and then the extremal optimization method of PID control system is proposed. Secondly, a PID parameters tuning model combined with AFW is built. At last, 5 typical transfer functions are simulated to obtain optimal parameters by AFW and contrast tuning method, such as Ziegler-Nichols method, Enhanced Fireworks (EFW) algorithm, and Particle Swarm Optimization (PSO). Simulation results show that AFW are effective and are easily implemented methods to solve PID control problems of different transfer functions.

scholarly journals PID Tuning Method Using Chaotic Safe Experimentation Dynamics Algorithm for Elastic Joint Manipulator

2021 ◽  
Vol 54 (5) ◽  
pp. 693-698
Author(s):  
Mohd Ikhmil Fadzrizan Mohd Hanif ◽  
Mohd Ashraf Ahmad ◽  
Julakha Jahan Jui
Keyword(s):  
Pid Controller ◽  
Vibration Suppression ◽  
Fitness Function ◽  
Pid Controllers ◽  
Elastic Joint ◽  
Tuning Method ◽  
Pid Tuning ◽  
Self Tuning ◽  
Angle Tracking ◽  
Control Challenge

This paper proposed the chaotic safe experimentation dynamics algorithm (CSEDA) to regulate angular tracking and vibration of the self-tuning PID controller for elastic joint manipulators. CSEDA was a modified version of the safe experimentation dynamics algorithm (SEDA) that used a chaos function in the updated equation. The chaos function increased the exploration capability, thus improving the convergence accuracy. In this study, two self-tuning PID controllers were used to regulate the rotating angle tracking and vibration for elastic joint manipulators in this control challenge. The suggested self-tuning PID controller's performance was evaluated in angular motion trajectory tracking, vibration suppression, and the pre-determined control fitness function. A self-tuned PID controller based on CSEDA could achieve superior control accuracy than a traditional SEDA and its variants.

scholarly journals Performance Evaluation of the Good Gain Method Against Other Methods Using a Water Level Control System

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
The Other ◽  
Pid Controllers ◽  
Proportional Integral Derivative ◽  
Level Control ◽  
Tuning Method ◽  
Pid Tuning ◽  
Pid Controller Tuning ◽  
Tuning Methods

Various tuning methods have been proposed for proportional-integral-derivative (PID) controller. A respectively new and simple experimental method for tuning PID controllers named a Good Gain method that was recently proposed by F. Haugen in 2010, this method is not yet recognized among the other known methods for tuning. However, the founder of this methods claims that it can be an alternative to the famous Ziegler-Nichols. In this paper, PID tuning method has been performed experimentally using a real water level system in order to test and validates the Good Gain method. Also other PID tuning methods applied to the same system to compare the results. The results show that the Good Gain method gives an acceptable stability and response comparing to the other industrial PID controller tuning procedures

The magnitude optimum tuning of the PID controller: Improving load disturbance rejection by extending the controller

2017 ◽  
Vol 40 (5) ◽  
pp. 1669-1680 ◽  
Author(s):  
Jan Cvejn ◽  
Damir Vrančić
Keyword(s):  
Disturbance Rejection ◽  
Pid Controller ◽  
Stability Margin ◽  
Pid Controllers ◽  
First Order ◽  
Fast Tracking ◽  
Tuning Method ◽  
Exogenous Disturbance ◽  
Process Output ◽  
The Stability

The Magnitude Optimum (MO) tuning method for PID controllers, applied on stable and non-oscillating plants, usually gives fast tracking responses and offers very good process output disturbance-rejection performance, even if the process contains significant dead time. On the other hand, when an exogenous disturbance affects the process indirectly, for example, via the plant input, slow disturbance rejection responses may be obtained. The paper proposes a way of removing this problem by means of adding two first-order filters into the control loop, without modifying the controller parameters. The filter parameters are determined so that the disturbance lag is partially compensated and the stability margin properties of the MO tuning are preserved.

scholarly journals SIMULATION AND PERFORMANCE OF LIQUID LEVEL CONTROLLERS FOR LINEAR TANK

2020 ◽  
Vol 82 (3) ◽  
Author(s):  
Qahtan A. Mahmood ◽  
Amer T. Nawaf ◽  
Shaho A. Mohamedali
Keyword(s):  
Pid Controller ◽  
Absolute Error ◽  
Liquid Level ◽  
Pid Controllers ◽  
Water Tank ◽  
Level Control ◽  
Tuning Method ◽  
Squared Error ◽  
And Performance ◽  
Tuning Methods

Level control of liquid in a tank or any similar container is widely used in applications such as chemical and oil industrial processes. Control the level at desired value is very important. This paper studies the performance of P, PI, and PID controllers in controlling the level of a liquid. Mass balance is used to find mathematical model of water tank level. Ziegler-Nichol (Z-N) and Cohen-Coon (C-C) tuning methods are used to evaluate parameters of the controllers. The error indices such as Integral Absolute Error (IAE) and Integral Squared Error (ISE) are used to compare between performances of the controllers. MATLAB is used to test the control system performance and compare the results with real values. Both simulation and experimental results show that liquid level system can be controlled effectively by using Z-N tuning method. The result shows that the PI controller gives better performance in comparison with P and PID controller.

Grasshopper Algorithm Optimized Fractional Order Fuzzy PID Frequency Controller for Hybrid Power Systems

2019 ◽  
Vol 12 (6) ◽  
pp. 519-531
Author(s):  
Deepak Kumar Lal ◽  
Ajit Kumar Barisal
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fractional Order ◽  
Pid Controller ◽  
Load Frequency Control ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Hybrid Power ◽  
Increasing Demand

Background: Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity. Methods: Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources. Results: The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems. Conclusion: The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively.

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