scholarly journals The Development of an Optimally-Tuned PID Control for the Actuator of a Transport Robot

Actuators ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 195
Author(s):  
Pavol Božek ◽  
Yury Nikitin
Keyword(s):  
Angular Velocity ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Control Law ◽  
Transient Time ◽  
Parametric Synthesis ◽  
Automatic Selection ◽  
Adaptive Regulator ◽  
Selection Of

An optimally-tuned PID control for a transport robot actuator based on an induction motor was developed. Continuous-discrete and continuous mathematical models of the actuator were obtained. The parametric synthesis of PID controller on the basis of continuous and discrete actuator models were performed. Numerical simulations using SimInTech for the adaptive regulator taking into account the cargo weight (from empty to maximum loaded) were carried out. The scheme of automatic selection of actuator PID coefficients considering the cargo weight was proposed. The scheme of automatic selection of coefficients of PID regulator for an actuator with regard to the cargo weight was suggested. As a result of parametric synthesis of discrete PID control law optimum values of its amplification coefficients were determined. There was no overcontrol and the transient time, which satisfied the initial requirements for the optimization of the control algorithm by angular velocity.

scholarly journals A Novel Method for Tuning PID Controller

2013 ◽  
Vol 6 (1) ◽  
pp. 62-74
Author(s):  
Abidaoun H. shallal ◽  
Rawaa A. Karim ◽  
Osama Y. Al-Rawi
Keyword(s):  
Computer Technology ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
The Novel ◽  
Operation Conditions ◽  
Wide Range ◽  
Novel Method ◽  
Mechanical Performances ◽  
Dc Servomotor

Proportional integral derivative (PID) control is the most commonly used  control algorithm in the industry today. PID controller popularity can be attributed to the  controller’s effectiveness in a wide range of operation conditions, its functional simplicity, and the ease with which engineers can implement it using current computer technology . In this paper,the Dc servomotor model is chosen according to his good electrical and mechanical performances more than other Dc motor models , discuss the novel method for  tuning PID controller and comparison with Ziegler - Nichols method from through parameters of transient response of any system which uses PID compensator

Adaptive PID Controller Based on Single Neuron

2012 ◽  
Vol 466-467 ◽  
pp. 981-985 ◽  
Author(s):  
Xin Yun Qiu ◽  
Yuan Gao
Keyword(s):  
Pid Controller ◽  
Control Algorithm ◽  
Single Neuron ◽  
Variable Parameter ◽  
Fast Response ◽  
Control Law ◽  
Parameters Tuning ◽  
Application Condition ◽  
Simulation And Experiment ◽  
New Type

An adaptive PID controller based on single neuron is proposed. The properties, control algorithm, parameters tuning, the control law and the application condition of the controller are studied in the paper. To satisfy the properties of the requirements of the control system in an electromotor group, such as a broad dynamic changing range, a fast response, a little overshoot and time-variable parameter, a new-type self-optimizing PID controller based on artificial neural networks is proposed and studied. It is verified that the controller has few adjustable parameters and excellent robust performance. The results of simulation and experiment prove that the controller is superior to the traditional PID controller.

The PID Control Algorithm Based on MATLAB Simulation

2014 ◽  
Vol 494-495 ◽  
pp. 1302-1305
Author(s):  
Le Peng Song ◽  
Di Jian Xu ◽  
Jin Liang Shi ◽  
Bi Jia
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Theoretical Foundation ◽  
Matlab Simulation ◽  
Paper Briefly ◽  
Graphical Language ◽  
Visual Modeling ◽  
Modeling Simulation ◽  
Symbolic Operation

MATLAB is a set of numerical calculation, symbolic operation, visual modeling, simulation and graphic processing and other functions in one of the very best graphical language. This paper briefly introduces the PID controller is widely used in the field of industry, and the theoretical foundation of the PID controller, and the continuous improvement of system performance index.

scholarly journals PID Control for Electric Vehicles Subject to Control and Speed Signal Constraints

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Amanda Danielle O. da S. Dantas ◽  
André Felipe O. de A. Dantas ◽  
João Tiago L. S. Campos ◽  
Domingos L. de Almeida Neto ◽  
Carlos Eduardo T. Dórea
Keyword(s):  
Angular Velocity ◽  
Electric Vehicles ◽  
Pid Control ◽  
Pid Controller ◽  
Dc Motor ◽  
Invariant Set ◽  
Velocity Signal ◽  
Tuning Parameters ◽  
Multiparametric Programming ◽  
Control Actions

A PID control for electric vehicles subject to input armature voltage and angular velocity signal constraints is proposed. A PID controller for a vehicle DC motor with a separately excited field winding considering the field current constant was tuned using controlled invariant set and multiparametric programming concepts to consider the physical motor constraints as angular velocity and input armature voltage. Additionally, the integral of the error, derivative of the error constraints, and λ were considered in the proposed algorithm as tuning parameters to analyze the DC motor dynamic behaviors. The results showed that the proposed algorithm can be used to generate control actions taking into account the armature voltage and angular velocity limits. Also, results demonstrate that a controller subject to constraints can improve the electric vehicle DC motor dynamic; and at the same time it protects the motor from overvoltage.

The Controller Design for DC Motor Speed System Based on Improved Fuzzy PID

2012 ◽  
Vol 466-467 ◽  
pp. 1246-1250 ◽  
Author(s):  
Bin Ma ◽  
Qing Bin Meng ◽  
Feng Yu ◽  
Zhong Hua Han ◽  
Chang Tao Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Controller Design ◽  
Fast Response ◽  
Dc Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Fuzzy Control Algorithm

In this paper, a controller is designed based on improved fuzzy PID to solve the problem that the dc motor performance of speed and dynamic is poor when using the conventional PID controller for the lack of adaptive capacity of the controller parameters. The improved fuzzy control algorithm is used for the tuning of PID controller to get good speed performances, which automatically adjust the parameter of PID controller according to the motor speed. The simulation results show that the improved fuzzy PID control with the advantages of fast response, small overshoot and strong anti-interference capability can effectively improve the dynamic characteristics and steady state accuracy.

Digital Automatic Control System with PID Controller

1970 ◽  
Vol 110 (4) ◽  
pp. 13-16
Author(s):  
A. Petrovas ◽  
S. Lisauskas ◽  
R. Rinkeviciene
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Design Process ◽  
Automatic Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
General Purpose ◽  
Simulation Results

The design process of digital automatic control system with PID controller is considered. The solution of problems related with implementation of PID control algorithm into general purpose 8-bit microcontroller is discussed. Simulation results demonstrating performance of system are presented. Ill. 4, bibl. 6, tabl. 3 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.110.4.277

Design of Incremental PID Controller Based on FPGA

2014 ◽  
Vol 602-605 ◽  
pp. 830-833
Author(s):  
Xiao Yun ◽  
Zhou Hu Deng ◽  
Xue Wen Wang ◽  
Chao Yang
Keyword(s):  
Pid Control ◽  
Manufacturing Process ◽  
Pid Controller ◽  
Control Algorithm ◽  
Control Methods ◽  
Digital Pid ◽  
Digital Pid Control

Digital PID control is one of the most widely used control methods in the manufacturing process. Based on the analysis of PID control algorithm, the system has designed and simulated the incremental PID controller using the LPM macro module built-in FPGA,and also designed the PWM module. The combination of two modules can be used for a variety of applications. The results show that the design is feasible and correct.

scholarly journals Design and implementation speed control system of DC Motor based on PID control and matlab simulink

2020 ◽  
Vol 11 (1) ◽  
pp. 127
Author(s):  
Salman Jasim Hammoodi ◽  
Kareem Sayegh Flayyih ◽  
Ahmed Refaat Hamad
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Matlab Simulink ◽  
Dc Motors ◽  
Electronic Controller

<span>In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described , that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC motor constant before variations of the load (disturbances), automatically depending to the PID controller. The system was designed and implementation by using MATLAB/SIMULINK and  DC motor.</span>

PID Control Algorithm Based on Genetic Algorithm and its Application in Electric Cylinder Control

2017 ◽  
Vol 12 (3) ◽  
pp. 51-61 ◽  
Author(s):  
Geng Zhang ◽  
Xiansheng Gong ◽  
Xirui Chen
Keyword(s):  
Genetic Algorithm ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Parameter Tuning ◽  
Search Space ◽  
Control Field ◽  
Electric Cylinder ◽  
Complex Phenomena ◽  
The Mathematical Model

The traditional PID controller is simple in principle, easy to use, stable and reliable, and it is still widely used in the control field. However, for many nonlinear and lagging objects, the parameter tuning of PID controller is very important. Genetic algorithm provides a new way to optimize the parameters of PID. It uses simple coding techniques and propagation mechanisms to express complex phenomena, which is not restricted by the restriction of the search space. In this paper, the global optimization of genetic algorithm is used to optimize the parameters of PID, which can improve the performance and adaptive capability of PID controller. The mathematical model of the electric cylinder system is established, and the PID controller based on genetic algorithm is used to control the system. The simulation results verify the effectiveness of the proposed control algorithm.

scholarly journals Design of the LADRC control system for gravimetric stabilisation platforms

2021 ◽  
Vol 2113 (1) ◽  
pp. 012018
Author(s):  
Enfan Lin ◽  
Jiangning Xu ◽  
Miao Wu ◽  
Hongyang He
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Simulation Experiment ◽  
Control Method ◽  
Control System Design ◽  
Adaptive Control System ◽  
Platform System

Abstract Aiming at the problems of strong non-linearity of gravimeter stabilisation platform system, poor robustness of linear PID control algorithm and non-adaptive control system. This paper designs a LADRC-based gravimetric stabilisation platform control system design and method based on the research of PID controller and ADRC control method, and gives the anti-saturation and anti-noise design applicable to it, and the simulation experiment shows that the method is feasible.

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