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- W4385323118 abstract "Abstract Thermally induced bearing loads have long been recognized as a key factor limiting the performance of machine tool spindle systems. Previous researchers have developed a model based bearing load estimation system using a nonlinear heat transfer/thermal expansion model and nonlinear observer. While this system is capable of estimating the bearing loads, the difficulty of determining the parameters of the nonlinear model represent a significant barrier to transferring this technology to industry. This paper presents two linear design approaches, based upon disturbance rejection control (DRC) theory. The two approaches use an extended linear observer to estimate the nonlinear bearing friction torque heat input. This allows the division of the bearing load estimation problem into a linear temperature state estimation problem and a nonlinear bearing load calculation. The first approach calculates the bearing load by combining estimates of the bearing’s temperature states in a thermal expansion/bearing load calculation. The second approach uses the estimate of the nonlinear friction heat input to calculate the bearing load This approach allows a reduction in the temperature state model from third to first order, further reducing the model’s complexity. Time responses based upon experimental measurements are used to compare and contrast the above methods with the previously published nonlinear estimation approach. The bearing load estimate results demonstrate that DRC theory can be used to minimize the complexity of the bearing load estimation algorithm while maintaining the accuracy of the estimate." @default.
- W4385323118 created "2023-07-28" @default.
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- W4385323118 date "1996-11-17" @default.
- W4385323118 modified "2023-09-23" @default.
- W4385323118 title "A Linear Observer Based Approach for Estimating Spindle Bearing Loads" @default.
- W4385323118 doi "https://doi.org/10.1115/imece1996-0344" @default.
- W4385323118 hasPublicationYear "1996" @default.
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