scholarly journals Verification of Optimized Real-time Hybrid Control System for Prediction of Nonlinear Materials Behavior with 3-DOF Dynamic Test

2020 ◽  
Vol 10 (11) ◽  
pp. 4037 ◽  
Author(s):  
Okpin Na ◽  
Jejin Park
Keyword(s):  
Control System ◽  
Real Time ◽  
Shaking Table Test ◽  
Hybrid Control ◽  
Dynamic Test ◽  
Full Scale ◽  
Test Method ◽  
Shaking Table ◽  
Hybrid Test ◽  
Hybrid Control System

Real-time hybrid method is an economical and efficient test method to evaluate the dynamic behavior. The purpose of this study is to develop the computational algorithm and to prove the reliability of a real-time hybrid control system. For performing the multi-direction dynamic test, three dynamic actuators and the optimized real-time hybrid system with new hybrid simulation program (FEAPH) and a simplified inter-communication were optimized. To verify the reliability and applicability of the real-time hybrid control system, 3-DOF (3 Degrees of Freedom) non-linear dynamic tests with physical model were conducted on a steel and concrete frame structure. As a ground acceleration, El Centro and Northridge earthquake waves were applied. As a result, the maximum error of numerical analysis is 13% compared with the result of shaking table test. However, the result of real-time hybrid test shows good agreement with the shaking table test. The real-time hybrid test using FEAPH can make good progress on the total testing time and errors. Therefore, this test method using FEAPH can be effectively and cheaply used to evaluate the dynamic performance of the full-scale structure, instead of shaking table and full-scale test.

FRACTURE OF BEAM-TO-COLUMN CONNECTIONS SIMULATED BY FULL-SCALE SHAKING TABLE TEST AND EVALUATION OF DEFORMATION CAPACITY

2002 ◽  
Vol 67 (560) ◽  
pp. 181-188 ◽  
Author(s):  
Yuka MATSUMOTO ◽  
Satoshi YAMADA ◽  
Ken OKADA ◽  
Masatoshi IDE ◽  
Toru TAKEUCHI ◽  
...  
Keyword(s):  
Shaking Table Test ◽  
Full Scale ◽  
Shaking Table ◽  
Deformation Capacity ◽  
Test And Evaluation

Research on hybrid control system of quadrotor UAV

2013 ◽  
Vol 33 (3) ◽  
pp. 858-861 ◽  
Author(s):  
Guoqing XIA ◽  
Yuefeng LIAO ◽  
Lu WANG
Keyword(s):  
Control System ◽  
Hybrid Control ◽  
Quadrotor Uav ◽  
Hybrid Control System

scholarly journals STUDY ON FRACTURE OF BEAM-TO-COLUMN CONNECTIONS BY MEANS OF FULL SCALE SHAKING TABLE TEST

1998 ◽  
Vol 63 (512) ◽  
pp. 165-172 ◽  
Author(s):  
Hiroshi AKIYAMA ◽  
Satoshi YAMADA ◽  
Yuka MATSUMOTO ◽  
Saburo MATSUOKA ◽  
Keiji OGURA ◽  
...  
Keyword(s):  
Shaking Table Test ◽  
Full Scale ◽  
Shaking Table

Feasibility study of an adaptive mount system based on magnetorheological elastomer using real-time hybrid simulation

2018 ◽  
Vol 30 (5) ◽  
pp. 701-707 ◽  
Author(s):  
Seung-Hyun Eem ◽  
Jeong-Hoi Koo ◽  
Hyung-Jo Jung
Keyword(s):  
Magnetic Field ◽  
Control System ◽  
Real Time ◽  
Control Algorithm ◽  
Vibration Reduction ◽  
Hybrid Simulation ◽  
Shaking Table ◽  
Magnetorheological Elastomer ◽  
Experimental Part ◽  
Hybrid Simulations

This article investigates an adaptive mount system based on magnetorheological elastomer in reducing the vibration of an equipment on the isolation table. Incorporating MR elastomers, whose elastic modulus or stiffness can be adjusted depending on the applied magnetic field, the proposed mount system strives to alleviate the limitations of existing passive-type mount systems. The primary goal of this study is to evaluate the vibration reduction performance of the proposed MR elastomer mount using the hybrid simulation technique. For real-time hybrid simulations, the MR elastomer mount and the control system are used as an experimental part, which is installed on the shaking table, and an equipment on the table is used as a numerical part. A suitable control algorithm is designed for the real-time hybrid simulations to avoid the responses of the equipment’s natural frequency by tracking the frequencies of the responses. After performing a series of real-time hybrid simulation on the adaptive mount system and the passive-type mount system under sinusoidal excitations, this study compares the effectiveness of the adaptive mount system over its passive counterpart. The results show that the proposed adaptive elastomer mount system outperforms the passive-type mount system in reducing the responses of the equipment for the excitations considered in this study.

CMAC Based Hybrid Control System for Solving Electrohydraulic System Nonlinearities

2014 ◽  
Vol 4 (2) ◽  
pp. 47-72
Author(s):  
Amro Shafik ◽  
Magdy Abdelhameed ◽  
Ahmed Kassem
Keyword(s):  
Neural Network ◽  
Control System ◽  
Hybrid Control ◽  
Learning Algorithm ◽  
Cerebellar Model Articulation Controller ◽  
Stick Slip ◽  
Electrohydraulic System ◽  
Cmac Neural Network ◽  
Wide Range ◽  
Hybrid Control System

Automation based electrohydraulic servo systems have a wide range of applications in nowadays industry. However, they still suffer from several nonlinearities like deadband in electrohydraulic valves, hysteresis, stick-slip friction in valves and cylinders. In addition, all hydraulic system parameters have uncertainties in their values due to the change of temperature while working. This paper addresses these problems by designing a suitable intelligent control system that has the ability to deal with the system nonlinearities and parameters uncertainties using a fast and online learning algorithm. A novel hybrid control system based on Cerebellar Model Articulation Controller (CMAC) neural network is presented. The proposed controller is composed of two parallel controllers. The first is a conventional Proportional-Velocity (PV) servo type controller which is used to decrease the large initial error of the closed-loop system. The second is a CMAC neural network which is used as an intelligent controller to overcome nonlinear characteristics of the electrohydraulic system. A fourth order model for the electrohydraulic system is introduced. PV controller parameters are tuned to get optimal values. Simulation and experimental results show a good tracking performance obtained using the proposed controller. The controller shows its robustness in two working environments. The first is by adding different inertia loads and the second is working with noisy level input signals.

Sign in / Sign up

Export Citation Format

Share Document