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Sliding Mode Controllers possess robustness properties under parameter uncertainties. The ideally zero switching time of the controller output cannot be achieved in digital implementation. This causes a phenomenon called chattering – high frequency oscillations observed in systems state variables. Chattering also shows itself as high amplitude oscillatory behavior in the control signal. A chattering actuator output is not favorable for many plants, including robot manipulators driven by actuator torques. This problem is traditionally solved by smoothing the switching control output, deviating from the original mathematical foundations robustness. This motivates the exploration of automatic tuning approaches which consider chattering and performance simultaneously. This book proposes two SMC smoothing and parameter tuning methods with soft computing (SC) methodologies. The first method is based on Genetic Algorithms (GA). The second SMC parameter tuning method proposed employs a fuzzy logic system to enlarge the applicability range of the controller. The chattering measure and the sliding variable are used as the inputs of this system, which tunes the controller output mechanism.
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Slinding Mode Robot Controller Tuning Genetic Algorithms & Fuzzy Logic
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LAP LAMBERT Academic Publishing Aug 2016, 2016
ISBN 10: 365993447X
ISBN 13: 9783659934476
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sliding Mode Controllers possess robustness properties under parameter uncertainties. The ideally zero switching time of the controller output cannot be achieved in digital implementation. This causes a phenomenon called chattering - high frequency oscillations observed in systems state variables. Chattering also shows itself as high amplitude oscillatory behavior in the control signal. A chattering actuator output is not favorable for many plants, including robot manipulators driven by actuator torques. This problem is traditionally solved by smoothing the switching control output, deviating from the original mathematical foundations robustness. This motivates the exploration of automatic tuning approaches which consider chattering and performance simultaneously. This book proposes two SMC smoothing and parameter tuning methods with soft computing (SC) methodologies. The first method is based on Genetic Algorithms (GA). The second SMC parameter tuning method proposed employs a fuzzy logic system to enlarge the applicability range of the controller. The chattering measure and the sliding variable are used as the inputs of this system, which tunes the controller output mechanism. 88 pp. Englisch. Codice articolo 9783659934476
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Slinding Mode Robot Controller Tuning Genetic Algorithms & Fuzzy Logic
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365993447X
ISBN 13: 9783659934476
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Sliding Mode Controllers possess robustness properties under parameter uncertainties. The ideally zero switching time of the controller output cannot be achieved in digital implementation. This causes a phenomenon called chattering - high frequency oscillations observed in systems state variables. Chattering also shows itself as high amplitude oscillatory behavior in the control signal. A chattering actuator output is not favorable for many plants, including robot manipulators driven by actuator torques. This problem is traditionally solved by smoothing the switching control output, deviating from the original mathematical foundations robustness. This motivates the exploration of automatic tuning approaches which consider chattering and performance simultaneously. This book proposes two SMC smoothing and parameter tuning methods with soft computing (SC) methodologies. The first method is based on Genetic Algorithms (GA). The second SMC parameter tuning method proposed employs a fuzzy logic system to enlarge the applicability range of the controller. The chattering measure and the sliding variable are used as the inputs of this system, which tunes the controller output mechanism. Codice articolo 9783659934476
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Slinding Mode Robot Controller Tuning Genetic Algorithms & Fuzzy Logic
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365993447X
ISBN 13: 9783659934476
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: ELTHALATHINY BASELBasel ElThalathiny graduated with a M.Sc. Degree in Mechatronics Engineering from Sabanci University, Turkey. Before it, he was enrolled in the Industrial Engineering Master Program too at Sabanci Uni. He s a holder. Codice articolo 158249042
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Slinding Mode Robot Controller Tuning Genetic Algorithms & Fuzzy Logic
Editore:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365993447X
ISBN 13: 9783659934476
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Paperback. Condizione: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Codice articolo 365993447X
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Slinding Mode Robot Controller Tuning Genetic Algorithms & Fuzzy Logic
Editore:
LAP LAMBERT Academic Publishing Aug 2016, 2016
ISBN 10: 365993447X
ISBN 13: 9783659934476
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Sliding Mode Controllers possess robustness properties under parameter uncertainties. The ideally zero switching time of the controller output cannot be achieved in digital implementation. This causes a phenomenon called chattering - high frequency oscillations observed in systems state variables. Chattering also shows itself as high amplitude oscillatory behavior in the control signal. A chattering actuator output is not favorable for many plants, including robot manipulators driven by actuator torques. This problem is traditionally solved by smoothing the switching control output, deviating from the original mathematical foundations robustness. This motivates the exploration of automatic tuning approaches which consider chattering and performance simultaneously. This book proposes two SMC smoothing and parameter tuning methods with soft computing (SC) methodologies. The first method is based on Genetic Algorithms (GA). The second SMC parameter tuning method proposed employs a fuzzy logic system to enlarge the applicability range of the controller. The chattering measure and the sliding variable are used as the inputs of this system, which tunes the controller output mechanism.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Codice articolo 9783659934476
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Slinding Mode Robot Controller Tuning Genetic Algorithms & Fuzzy Logic
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365993447X
ISBN 13: 9783659934476
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Slinding Mode Robot Controller Tuning Genetic Algorithms & Fuzzy Logic | Basel Elthalathiny | Taschenbuch | 88 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659934476 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 103458622
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