Development of a Hydraulic Spring System for Vehicles Based on Various Control Laws
This article discusses the development of a hydraulic spring system for vehicles based on various control laws. Two approaches to the development of a control algorithm for nonlinear systems are presented. One approach uses the least squares method to calculate the controller parameters of a lineari...
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| Veröffentlicht in: | Journal of machinery manufacture and reliability 2021-11, Vol.50 (6), p.534-538 |
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| container_title | Journal of machinery manufacture and reliability |
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| creator | Godzhaev, Z. A. Kuz’min, V. A. Godzhaev, T. Z. |
| description | This article discusses the development of a hydraulic spring system for vehicles based on various control laws. Two approaches to the development of a control algorithm for nonlinear systems are presented. One approach uses the least squares method to calculate the controller parameters of a linearized dynamic system model. The other approach uses a multilayer perceptron-type neural network to model and estimate the actual parameters of the nonlinear system. The main idea is to demonstrate how the actual parameter estimation of a nonlinear neural model that is being trained is applied in a linearized model controller with real-time computation. |
| doi_str_mv | 10.3103/S105261882106008X |
| format | Article |
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| issn | 1052-6188 1934-9394 |
| language | eng |
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| source | SpringerLink Journals |
| subjects | Algorithms Control algorithms Control systems Control theory Controllers Engineering Least squares method Linearization Machines Manufacturing Mathematical models Multilayer perceptrons Neural networks New Technologies in Mechanical Engineering Nonlinear control Nonlinear systems Parameter estimation Processes |
| title | Development of a Hydraulic Spring System for Vehicles Based on Various Control Laws |
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