
The PID algorithm
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The article proposes to use dual PID controller with optimized parameters adjusted through genetic algorithm (GA) to control the gantry crane. The first PID controller controls the load oscillations, while the second PID controller controls the position of the crane.
10p
viharry
15-12-2022
5
1
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In this paper the authors find and optimize 3 constants in the algorithm of the PID controller. The controller can be used in the designs that have special requirements. The response of the controller can be described in terms of the sensitivity of the controller error. The error values are compared with setpoint value of the controller and the value of fluctuations of Quadcopters.
5p
vijaguar
16-11-2022
3
0
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In this study, the authors proposed the mapping, covering strategies, and control algorithms for vacuum cleaner robot. The robot will automatically implement the cleaning task in a single pass. The sensor system includes infrared sensor, 9 Dof MPU 9250, Delta Lidar 2A, ultrasonic sensor to help robots navigate, build maps and detect obstacles. ROS system (Robot Operating System) is used to control and simulate vacuuming operation in real-world environments. The experiments are conducted in order to illustrate the superiority of the proposed approach.
9p
spiritedaway36
28-11-2021
9
0
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The subsystem is built to control only one DC motor for each wheel with the built-in proportional integral derivative controller (PID) algorithm by an STM32F103 microcontroller. Furthermore, the directional control algorithm is developed for three omnidirectional wheels and a PID algorithm is designed to control the speed of DC motor for each wheel.
12p
spiritedaway36
25-11-2021
16
0
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In this paper, we describe the application of CRO algorithm to search optimal parameters for PID controller because CRO combines both features of local and global searching techniques to increase the chance of finding global solution. The comparison of tuning PID controller by CRO and traditional Ziegler-Nichols method is also presented. The simulated results show the advantages of tuning PID using CRO compared to traditional methods in terms of performance indices and transient responses.
12p
tamynhan9
02-12-2020
5
0
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In this paper, a robust PI controller in combination with a linear quadratic regulator (LQR) is proposed to control a two-wheeled inverted pendulum robot (TWIPR) such that it is kept balanced while moving. The proposed TWIPR control system consists of two control loops. The inner loop has two PI controllers for two DC motors’ currents, which are separately designed based on a robust PI controller structure. The outer loop contains a LQR controller for the tilt angle, heading angle and position of the TWIPR.
15p
12120609
01-06-2020
23
1
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This paper presents new results of PID neural network controller for heading control of ship. The control system uses one neural network to drive parameters of a PID controller. Another neural network is used to predict the ship’s heading so that it gives the predicted heading of k steps in advance.
4p
vimante2711
05-03-2020
6
0
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In this paper, an improved fuzzy particle swarm optimization (IFPSO) algorithm is proposed and used to solve the optimization problem for WTRS under frequency and load disturbances conditions.
17p
vivalletta2711
11-01-2020
12
0
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In PID controller design, an optimization algorithm is commonly employed to search for the optimal controller parameters. The optimization algorithm is based on a specific performance criterion which is defined by an objective or cost function. To this end, different objective functions have been proposed in the literature to optimize the response of the controlled system. These functions include numerous weighted time and frequency domain variables.
10p
kequaidan1
16-11-2019
35
0
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In this paper, a setup of control algorithm experiments applied to an overhead crane model in our laboratory is presented. The hardware of the model is designed to imitate the industrial overhead crane. Moreover, the software is developed with open source code and human-computer interaction which allow for the implementation of various control techniques.
10p
thithizone
16-07-2019
14
0
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The inner loop, a feedback control loop, is designed as a proportional – integral – derivative (PID) controller in order to eliminate unknown parts of the plants such as input-nonlinear elements, or unknown system disturbances. The outer loop, a learning feed-forward control (LFFC) loop, is designed based on the Model Reference Adaptive System algorithms called MRAS-based LFFC for compensating the cross-couple and non-linear elements.
9p
thithizone
16-07-2019
13
1
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This paper introduces a control structure based on the classical PID controller in order to monitor the IGBT switching frequency while still guaranteeing the qualities of SAPF. There are two controlled loops needed for the system.
10p
visumika2711
17-07-2019
11
0
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In this study, Artificial Bee Colony (ABC) algorithm is proposed to determine gain parameters of the PID algorithm for controlling a designed buck converter.
7p
praishy2
27-02-2019
17
1
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This paper addresses the use of deep learning algorithm to design the controller; to explore the feasibility of applying deep learning into control problems. The proposed deep learning controller is designed by learning PID controller which is most commonly used in industry.
5p
praishy2
27-02-2019
27
0
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In this paper, a nonlinear dynamic modeling and control of flexible link manipulator with rigid translational and rotational joints is presented. This model TR (Translational-Rotational) is developed based on single flexible link manipulator with only rotational joint. Finite element method and Lagrange approach are used to model and build equations of the motion. PID controller is designed with parameters (Kp, Ki, Kd) which are optimized by using Particle Swarm Optimization algorithm (PSO).
15p
truongtien_09
08-04-2018
25
0
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Servo compensation usually implies that some type of filter network such as lead/lag circuits or proportional, integral, or differential (PID) algorithms will be used to stabilize the servo drive. However, there are other types of compensation that can be used external to the servo drive to compensate for other things in the servo plant (machine) that can, for example, be structural resonances or nonlinearities such as lost motion or stiction. These machine compensation techniques are shown in Figure 1 and are valid for either hydraulic or electric servo drives. 11.
24p
thanhspktcdt10
23-03-2013
46
5
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Tham khảo sách 'the pid control algorithm - how it works, how to tune it, and how to use it', kỹ thuật - công nghệ, điện - điện tử phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
68p
thanhhieungocbich
04-12-2012
81
20
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Despite the great technological advancement experienced in recent years, Programmable Logic Controllers (PLC) are still used in many applications from the real world and still play a central role in infrastructure of industrial automation. PLC operate in the factory-floor level and are responsible typically for implementing logical control, regulatory control strategies, such as PID and fuzzy-based algorithms, and safety logics. Usually PLC are interconnected with the supervision level through communication network, such as Ethernet networks, in order to work in an integrated form....
178p
123859674
30-06-2012
169
51
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John A. Shaw is a process control engineer and president of Process Control Solutions. An engineering graduate of N. C. State University, he previously worked for Duke Power Company in Charlotte, N. C. and for Taylor Instrument Company (now part of ABB, Inc.) in, N. Y. Rochester He is the author of over 20 articles and papers and continues to live in Rochester.
68p
cusonson
21-01-2010
218
90
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