Temat: control algorithm - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Simulation of vehicle working conditions with hydrostatic pump and motor control algorithm
Autorzy:: Zavadinka, P.
Kriššák, P.
Powiązania:: https://bibliotekanauki.pl/articles/385112.pdf
Data publikacji:: 2012
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: hydrostatic pump and motor
control algorithm
mobile working machine
energy savings
Opis:: Emission rules have significant impact on market of mobile working machines. They bring new challenges for transmission, working, controlling and vehicle management functions. Extensive knowledge from design, control system, optimization, automation, signal processing, system modeling etc. are welcome to get answer how best to produce more efficient, productive machines. In case of new concepts is appropriate to create complex dynamic model of machine. Presented paper describes a four wheel drive model and simulation of a mobile working machine and the concept of hydrostatic pump and motor control algorithm in selected conditions.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2012, 6, 3; 40-46
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: 2D microgravity test-bed for the validation of space robot control algorithms
Autorzy:: Oleś, J.
Kindracki, J.
Rybus, T.
Mężyk, Ł.
Paszkiewicz, P.
Moczydłowski, R.
Barciński, T.
Seweryn, K.
Wolański, P.
Powiązania:: https://bibliotekanauki.pl/articles/384755.pdf
Data publikacji:: 2017
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: space debris
Active Debris Removal
Kessler syndrome
microgravity simulator
space robot
robotic arm
manipulator
control algorithm
Opis:: The utilization of satellites equipped with robotic arms is one of the existing strategies for Active Debris Removal (ADR). Considering that the time intended for on-orbit capturing manoeuvres is strictly limited, any given space robot should possess a certain level of autonomy. This paper is about the control of on-orbit space robots and the testing of such objects in laboratory conditions. The Space Research Centre of the Polish Academy of Sciences (CBK PAN) possesses a planar air bearing microgravity simulator used for the testing of advanced control algorithms of space robots supported on air bearings. This paper presents recent upgrades to the testing facility. Firstly, the base of the space robot is now equipped with manoeuvre thrusters using compressed nitrogen and therefore allowing for position control of the entire system. Secondly, a signal from an external vision system, referencing the position and orientation of the robot’s parts is used by the control system for the closed loop control.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2017, 11, 2; 95-104
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Neurocontrolled car speed system
Autorzy:: Nakonechnyi, Markiyan
Ivakhiv, Orest
Świsulski, Dariusz
Powiązania:: https://bibliotekanauki.pl/articles/27314203.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: neural controller
PID-algorithm of control
dynamic object
neural networks
electric car
speed control
Opis:: The features of the synthesis of neural controllers for the car speed control system are considered in this article. The task of synthesis is to determine the weight coefficients of neural networks that provide the implementation of proportional and proportional-integralderivative control laws. The synthesis of controllers is based on an approach that uses a reversed model of the standard. A model of the car speed control system with the use of permitting subsystems has been developed, with the help of the synthesized controller that is connected under certain specified conditions. With the iterative programming and mathematical modeling environment in MATLAB, and using the Simulink package, a structural scheme for controlling the speed of the car was constructed and simulated using synthesized neural controllers.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 13--21
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Chemical reaction algorithm for type-2 fuzzy control optimization in mobile robots
Autorzy:: de la O, D.
Castillo, O.
Soria, J.
Powiązania:: https://bibliotekanauki.pl/articles/384488.pdf
Data publikacji:: 2018
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Chemical Reaction Algorithm
control
fuzzy logic
robotics
Opis:: In this work the optimization process of the tracking and reactive controllers for a mobile robot are presented. The Chemical Reaction Algorithm (CRA) is used to find the optimal parameter values of the membership functions and rules for the reactive and tracking controllers. In this case, we are using five membership functions in each variable of the fuzzy controllers. The main goal of the reactive controller is aimed at providing the robot with the ability to avoid obstacles in its environment. The tests are performed on a benchmark maze problem, in which the goal is not necessarily to leave the maze, but rather that the robot avoids obstacles, in this case the walls, and penalizing for unwanted trajectories, such as cycles. The tracking controller’s goal is for the robot to keep into to a certain path, this in order that the robot can learn to react to unknown environments. The optimization algorithm that was used is based on an abstraction of chemical reactions. To perform the simulation we use the “SimRobot” toolbox, the results of the tests are presented in a detailed fashion, and at the end we are presenting a comparison of results among the CRA, PSO and GA methods.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 3; 10-19
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Comparative Study of Optimised Artificial Intelligence Based First Order Sliding Mode Controllers for Position Control of a DC Motor Actuator
Autorzy:: Nyong-Bassey, B. E.
Akinloye, B.
Powiązania:: https://bibliotekanauki.pl/articles/385114.pdf
Data publikacji:: 2016
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: adaptive fuzzy control
DC motor position control
genetic algorithm
particle swarm optimization (PSO)
sliding mode control
Opis:: This paper aims at critically reviewing various sliding mode control measures applied to Permanent Magnet DC Motor actuator for position control. At first, a hybrid sliding mode controller was examined with its advantages and disadvantages. Then, the smooth sliding mode controller in the same manner. The shortcomings of the two methods were overcome by proper switch design and also using tanh-sinh hyperbolic function. The sliding mode controller switches on when either disturbance or noise is detected. Genetic Algorithm Computational tuning technique is employed to optimize the gains of the controllers for optimal response.The performance of the proposed controller architecture, as well as the reviewed controllers, have been compared for performance evaluation with respect to several operating conditions. This includes load torque disturbance injection, noise injection in a feedback loop, motor nonlinearity exhibited by parameters variation, and a step change in reference input demand.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2016, 10, 3; 58-71
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Design of a linear quadratic regulator based on genetic model reference adaptive control
Autorzy:: Abdullah, Abdullah I.
Mahmood, Ali.
Thanoon, Mohammad A.
Powiązania:: https://bibliotekanauki.pl/articles/27314263.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: model reference adaptive control
gradient approach
Linear Quadratic Regulator
genetic algorithm
Opis:: The conventional control system is a controller that controls or regulates the dynamics of any other process. From time to time, a conventional control system may not behave appropriately online; this is because of many factors like a variation in the dynamics of the process itself, unexpected changes in the environment, or even undefined parameters of the system model. To overcome this problem, we have designed and implemented an adaptive controller. This paper discusses the design of a controller for a ball and beam system with Genetic Model Reference Adaptive Control (GMRAC) for an adaptive mechanism with the MIT rule. Parameter adjustment (selection) should occur using optimization methods to obtain an optimal performance, so the genetic algorithm (GA) will be used as an optimization method to obtain the optimum values for these parameters. The Linear Quadratic Regulator (LQR) controller will be used as it is one of the most popular controllers. The performance of the proposed controller with the ball and beam system will be carried out with MATLAB Simulink in order to evaluate its effectiveness. The results show satisfactory performance where the position of the ball tracks the desired model reference.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 75--81
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Design of a vision‐based autonomous turret
Autorzy:: Louali, Rabah
Negadi, Djilali
Hamadouche, Rabah
Nemra, Abdelkrim
Powiązania:: https://bibliotekanauki.pl/articles/27314239.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: autonomous turret
stepper motor
DC motor
vision based control
Tracking‐Learning‐Detection algorithm
TLD algorithm
Kalman based visual tracking
Opis:: This article describes the hardware and software de‐ sign of a vision‐based autonomous turret system. A two degree of freedom (2 DOF) turret platform is designed to carry a cannon equipped with an embedded camera and actuated by stepper motors or direct current motors. The turret system includes a central calculator running a visual detection and tracking solution, and a microcon‐ troller, responsible for actuators control. The Tracking‐ Learning‐Detection (TLD) algorithm is implemented for target detection and tracking. Furthermore, a Kalman filter algorithm is implemented to continue the tracking in case of occlusion. The performances of the designed turret, regarding response time, accuracy and the execu‐ tion time of its main tasks, are evaluated. In addition, an experimental scenario was performed for real‐time autonomous detection and tracking of a moving target.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 4; 72--77
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: A Time optimal path planning for trajectory tracking of wheeled mobile robots
Autorzy:: Vivekananthan, R.
Karunamoorthy, L.
Powiązania:: https://bibliotekanauki.pl/articles/384765.pdf
Data publikacji:: 2011
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: wheeled robot
time optimal
trajectory tracking
motion control
fuzzy logic algorithm
Matlab environment
Opis:: Avariety of approaches for trajectory tracking control of wheeled mobile robots have been implemented. This paper presents a model for a time optimal motion control based on fuzzy logic algorithm for a three wheeled nonholonomic mobile robot with desired function. Simplified kinematic equations of a differentially driven robot are designed to follow the path with evaluated linear and angular velocities. Here, the proposed kinematic model is based on a simple geometric approach for getting the desired position and orientation. The speeds are varied depending on the variations in the path and on the posture of the robot. The robot is subjected to move in a constrained workspace. The control architecture was developed based on fuzzy logic algorithm to obtain time optimal motion control of robot trajectory tracking. The kinematic model was done on Matlab software environment and profound impact on the ability of the nonholonomic mobile robot to track the path was evaluated.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2011, 5, 2; 35-41
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Decentralized PID control by using GA optimization applied to a quadrotor
Autorzy:: Hasseni, S. E. I.
Abdou, L.
Powiązania:: https://bibliotekanauki.pl/articles/384905.pdf
Data publikacji:: 2018
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: quadrotor
non-linear systems
decentralized control
PID
optimization
genetic algorithm
systemy nieliniowe
kontrola zdecentralizowana
optymalizacja
algorytm genetyczny
Opis:: Quadrotors represent an effective class of aerial robots because of their abilities to work in small areas. We suggested in this research paper to develop an algorithm to control a quadrotor, which is a nonlinear MIMO system and strongly coupled, by a linear control technique (PID), while the parameters are tuned by the Genetic Algorithm (GA). The suggested technique allows a decentralized control by decoupling the linked interactions to effect angles on both altitude and translation position. Moreover, the using a meta-heuristic technique enables a certain ability of the system controllers design without being limited by working on just the small angles and stabilizing just the full actuated subsystem. The simulations were implemented in MATLAB/Simulink tool to evaluate the control technique in terms of dynamic performance and stability. Although the controllers design (PID) is simple, it shows the effect of the proposed technique in terms of tracking errors and stability, even with large angles, subsequently, high velocity response and high dynamic performances with practically acceptable rotors speed.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 2; 33-44
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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