Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings
This paper presents a nonlinearly parameterized controller for the adaptive control of base-isolated buildings subjected to a set of near-fault earthquakes. The control scheme is based on discrete direct adaptive control, wherein the system response is minimized under parameter uncertainties. Stable...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/96697 http://hdl.handle.net/10220/11996 |
| _version_ | 1811691431715143680 |
|---|---|
| author | Narasimhan, Sriram Nagarajaiah, Satish Suresh, Sundaram |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Narasimhan, Sriram Nagarajaiah, Satish Suresh, Sundaram |
| author_sort | Narasimhan, Sriram |
| collection | NTU |
| description | This paper presents a nonlinearly parameterized controller for the adaptive control of base-isolated buildings subjected to a set of near-fault earthquakes. The control scheme is based on discrete direct adaptive control, wherein the system response is minimized under parameter uncertainties. Stable tuning laws for the controller parameters are derived using the Lyapunov approach. The controller utilizes a linear combination of nonlinear basis functions, and estimates the desired control force online. The measurements that are necessary to generate the control force to reduce the system responses under earthquake excitations are developed based on the adaptive systems theory. The main novelty in this paper is to approximate the nonlinear control law using a nonlinearly parameterized neural network, without an explicit training phase. A perturbed model is used to initialize the controller parameters in order to simulate the uncertainty in the mathematical modeling that typically exists in representing civil structures. Performance of the proposed control scheme is evaluated on a full-scale nonlinear three-dimensional (3-D) base-isolated benchmark structure. The lateral-torsion superstructure behavior and the bi-axial interaction of the nonlinear bearings are incorporated. The results show that the proposed controller scheme can achieve good response reductions for a wide range of near-fault earthquakes, without a corresponding increase in the superstructure response. |
| first_indexed | 2024-10-01T06:19:47Z |
| format | Journal Article |
| id | ntu-10356/96697 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:19:47Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/966972020-05-28T07:17:31Z Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings Narasimhan, Sriram Nagarajaiah, Satish Suresh, Sundaram School of Computer Engineering DRNTU::Engineering::Computer science and engineering This paper presents a nonlinearly parameterized controller for the adaptive control of base-isolated buildings subjected to a set of near-fault earthquakes. The control scheme is based on discrete direct adaptive control, wherein the system response is minimized under parameter uncertainties. Stable tuning laws for the controller parameters are derived using the Lyapunov approach. The controller utilizes a linear combination of nonlinear basis functions, and estimates the desired control force online. The measurements that are necessary to generate the control force to reduce the system responses under earthquake excitations are developed based on the adaptive systems theory. The main novelty in this paper is to approximate the nonlinear control law using a nonlinearly parameterized neural network, without an explicit training phase. A perturbed model is used to initialize the controller parameters in order to simulate the uncertainty in the mathematical modeling that typically exists in representing civil structures. Performance of the proposed control scheme is evaluated on a full-scale nonlinear three-dimensional (3-D) base-isolated benchmark structure. The lateral-torsion superstructure behavior and the bi-axial interaction of the nonlinear bearings are incorporated. The results show that the proposed controller scheme can achieve good response reductions for a wide range of near-fault earthquakes, without a corresponding increase in the superstructure response. 2013-07-23T01:35:54Z 2019-12-06T19:34:02Z 2013-07-23T01:35:54Z 2019-12-06T19:34:02Z 2011 2011 Journal Article Suresh, S., Narasimhan, S., & Nagarajaiah, S. (2012). Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings. Structural Control and Health Monitoring, 19(3), 370-384. 1545-2255 https://hdl.handle.net/10356/96697 http://hdl.handle.net/10220/11996 10.1002/stc.437 en Structural control and health monitoring © 2011 John Wiley & Sons, Ltd. |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Narasimhan, Sriram Nagarajaiah, Satish Suresh, Sundaram Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings |
| title | Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings |
| title_full | Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings |
| title_fullStr | Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings |
| title_full_unstemmed | Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings |
| title_short | Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings |
| title_sort | direct adaptive neural controller for the active control of earthquake excited nonlinear base isolated buildings |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/96697 http://hdl.handle.net/10220/11996 |
| work_keys_str_mv | AT narasimhansriram directadaptiveneuralcontrollerfortheactivecontrolofearthquakeexcitednonlinearbaseisolatedbuildings AT nagarajaiahsatish directadaptiveneuralcontrollerfortheactivecontrolofearthquakeexcitednonlinearbaseisolatedbuildings AT sureshsundaram directadaptiveneuralcontrollerfortheactivecontrolofearthquakeexcitednonlinearbaseisolatedbuildings |