Slinding Mode Robot Controller Tuning Genetic Algorithms & Fuzzy Logic

Name: Slinding Mode Robot Controller Tuning Genetic Algorithms & Fuzzy Logic
Brand: LAP Lambert Academic Publishing
SKU: 9783659934476
Price: 984 CZK
Availability: InStock

Autor: BASEL ELTHALATHINY

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 8-11 dnů

984 Kč

Sliding Mode Controllers possess robustness properties under parameter uncertainties. The ideally ze...

Informace o knize

Autor

BASEL ELTHALATHINY

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

EAN

9783659934476

Enbook ID

14115419

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

147

Rozměry

150 x 220 x 5

Kompletní popis

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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