The paper presents using artificial neural networks for modeling and estimating of states of non-linear mechanical systems with application on semi-active truck suspension system. Dynamic force is caused from truck vibration excited by the road. These forces generate loads to pavement and accelerate a damage of a road surface. Design of semi-active suspension system of the truck is a way to reduce loading of the road. An artificial neural network is used for modeling the system and estimating states of model. Estimator is used to compute from inputs, which we can measure, the inputs, which we need as the inputs for controller.
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The article is dealing about static and dynamic analyze of the K1-K5 manipulator arm loading and natural frequencies of manipulator arm by the help of the mathematic modeling of finite element method with utilization of ProEngineer (design and meshing) and CosmosM programs.
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One of the most fundamental relations governing the dynamic properties of materials is Hooke's law of elasticity. Hooke's law is a relationship between stress and strain. Hooke's law describes materials which have relatively low damping very accurately. Short theory needed for calculation of elastic modulus, shear modulus and Poison's ratio is presented in this paper. Static measurement stress-strain characteristics of rubber and dynamic tests were described. Calculation of elastic modulus, shear modulus and Poisson's ratio of rubber is shown. Then the influence of strain' velocity on elastic modulus was measured and calculated and complex elastic modulus was calculated from dynamic tests.
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