Identification and Control of an MR Damper With Stiction Effect and its Application in Structural Vibration Mitigation


This paper presents the parameter identification and control of a magnetorheological (MR) damper with stiction result and its application to seismic protection of a model 2-story structure. This semi-active device is used to cut back the vibration of the model structure in response to earthquake excitations. 1st, changed Bingham and LuGre models which take into account the stiction result and the rate-dependent nature of the damper force are proposed. The parameters of the models are identified by solving a nonlinear optimization downside. The Bingham model is considered as a result of of its easy structure to be used in linear parameter varying (LPV) style framework. The parameter identification is performed whereas the MR damper is hooked up to the structure. These models are verified experimentally for different operating conditions showing a suitable level of accuracy. The subsequent half of the paper addresses the planning of different types of controllers to command the MR damper to suppress the structural vibrations of a model building because of earthquake excitations. Two varieties of controllers are thought of during this study: 1) an $H_infty $ inverse management based on the mixed-sensitivity design and 2) a dynamic output-feedback LPV controller. In the former one, an $H_infty $ controller is meant for the linear structure and the modified LuGre-based mostly inverse model is employed to determine the required voltage from the commanded force. The LPV controller is intended for the combined structure and MR damper based on the modified Bingham model considering the damper velocity because the scheduling parameter. Each controllers are combined with a classical anti-windup theme to compensate the result of the saturation on the control voltage. An optimal passive damping style is additionally obtained for comparison purposes. The performance of the control- ers is compared with the passive damping case and clipped-optimal controller for the El Centro and Northridge earthquake inputs with totally different intensities. The experimental results show the improved performance of the LPV controller design in terms of the maximum acceleration and also the RMS values of the structure response.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Classification Based on Euclidean Distance Distribution for Blind Identification of Error Correcting Codes in Noncooperative Contexts - 2018ABSTRACT:The use of channel code is mandatory in current digital communication
PROJECT TITLE :Joint Channel Identification and Estimation in Wireless Network: Sparsity and Optimization - 2018ABSTRACT:In this Project, we have a tendency to study channel identification for a wireless network with the help
PROJECT TITLE :A Likelihood-Based Algorithm for Blind Identification of QAM and PSK Signals - 2018ABSTRACT:This Project presents a chance-based mostly methodology for automatically identifying totally different quadrature amplitude
PROJECT TITLE :Rumor Source Identification in Social Networks with Time-Varying Topology - 2018ABSTRACT:Identifying rumor sources in social networks plays a critical role in limiting the injury caused by them through the timely
PROJECT TITLE :Structure Based User Identification across Social Networks - 2018ABSTRACT:Identification of anonymous identical users of cross-platforms refers to the recognition of the accounts belonging to the same individual

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry