PLC-based Fuzzy Control System for a Robotic Manipulator PDF Download

Author: Tomáš Škulavík
Publisher:
ISBN: 9783863600785
Category :
Languages : en
Pages : 115

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Author: Clarence W. DeSilva
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 214

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Book Description
This monograph considers the integration of knowledge-based soft control with hard control algorithms. As a specific application, the development of a knowledge-based controller for robotic manipulators is addressed. Servo control alone is known to be inadequate for nonlinear and high-speed processes including robots. Furthermore, knowledge-based control such as fuzzy control, when directly included in the servo loop, has produced insatisfactory performance in research robots. These considerations, along with the fact that human experts can very effectively perform tuning functions in process controllers, form the basis for the control structure proposed in this work. The book is suitable for students, researchers and practising professionals in the fields of Automatic Control and Robotics. The material is presented in simple and clear language with sufficient introductory information. Someone with an undergraduate knowledge in dynamics and control should be able to use the book without any difficulty.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Xiaoqing Ma
Publisher:
ISBN:
Category : Fuzzy algorithms
Languages : en
Pages : 0

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Control of under-actuated mechanical systems (robots) represents an important class of control problem. This thesis studies several related control problems associated with an under-actuated robot, Pendubot, from the point view of fuzzy logic control. To swing up the Pendubot from a rest position to the upright configuration, a fuzzy algorithm is proposed from non-complete sets of linguistic rules that link some mechanism states to the sign of a single control action. Therein, a simplified Tsukamoto's reasoning method and quasi-linear-mean aggregating operators are used to derive and analyze the controller input-out mappings. In order to balance the Pendubot at the unstable upright top configuration after swinging up, another simple fuzzy controller is derived according to its joint states: This combining fuzzy algorithm for swinging-up and balancing is successfully applied to the Pendubot. This thesis also investigates the case that the Pendubot tracks a desired signal and a corresponding fuzzy scheme is proposed, which combines the linear regulator theory with the Takagi-Sugeno fuzzy methodology. The stability and stability conditions for this fuzzy scheme are analyzed. Numerical simulations for all the above controllers are carried out to validate the theoretical analysis by using SIMULINK. Finally, the hardware experiments in the Pendubot have successfully been conducted in the Robotics and Mechatronics Laboratory.

Author: Israa Taqa
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659575785
Category :
Languages : en
Pages : 168

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The emergence of computational intelligence technology inspired by biological and human intelligence is one of the most exciting and important fields in engineering . It is expected that these technologies like fuzzy logic, will play a significant role in the development of intelligent robotic systems, machine systems, and mechatronics systems . In this work; a Fuzzy Logic Controller is presented to control the motion of a robotic arm and avoid the obstacles existed in its mission road, using a real platform robotic arm in combination with a vision system . This work involves constructing an integrated and autonomic MATLAB program. It could be applicable for any robotic arm . It depends on a new approach in analyzing the robotic environment videos acquired by a fixed webcam. The approach uses colors to detect and recognize the changeable locations and objects' dimensions for each of the robot's end-effector, the goal, and the obstacles .

Author: Limin Peng
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 220

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Author: Kaushik Das Sharma
Publisher: Springer
ISBN: 9811312982
Category : Technology & Engineering
Languages : en
Pages : 310

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This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H∞ theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H∞ theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.

Author: Seinz Ficici
Publisher:
ISBN:
Category : Fuzzy systems
Languages : en
Pages : 248

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Author: Abdelrahman Aledhaibi
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 290

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Author: Kong Chu
Publisher:
ISBN:
Category : Fuzzy systems
Languages : en
Pages : 146

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