Study a on Fuzzy MR Damper Vibration Control Strategy for Offshore Platforms

Author(s):  
Chunyan Ji ◽  
Qun Yin

In order to reduce the dynamic responses of offshore platform effectively, fuzzy magnetorheological controller is adopted to control the offshore platform in this paper. Taking the error of offshore platform displacement responses and error variety as inputs, and the optimal control force as output, the optimal fuzzy controller is designed. Considering the limits for output force, semi-active control strategy is used to revise the output control force, which approximates to the optimal active control force calculated by the fuzzy control strategy. Finally a numerical example of offshore platform is used in this paper. The simulation results show that vibration of offshore platforms by using fuzzy control method is reduced effectively. In addition, the influence of uncertainties of external loads parameters and structural damping on control effect is analyzed in detail. The results indicate that the proposed method has good fuzziness on uncertainties of structural damping, while it has some weaker fuzziness on uncertainties of external loads parameters than on uncertainties of structural damping.

Author(s):  
Chunyan Ji ◽  
Qingmin Meng

Conventional optimal control theories usually deal with optimal control force that involves only structural information. In order to control the excessive vibrations of offshore platforms more effectively, this paper presents a control strategy, which employs both information of the controlled system and external loading, namely feedforward-feedback (FF-FB) control strategy. FF-FB control strategy requires that the input signal be a process of white noise for obtaining the optimal control result. So, an analog filter is designed in this paper to approximately represent the random wave force by a process of white noise. In order to investigate the feasibility and effectiveness of the proposed method, a numerical example applied to an offshore platform is presented in this paper. The numerical results demonstrate that the proposed method offers advantage in performance over the control method employing only state feedback.


2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Xiliang Ma ◽  
Ruiqing Mao

Cold storage refrigeration systems possess the characteristics of multiple input and output and strong coupling, which brings challenges to the optimize control. To reduce the adverse effects of the coupling and improve the overall control performance of cold storage refrigeration systems, a control strategy with dynamic coupling compensation was studied. First, dynamic model of a cold storage refrigeration system was established based on the requirements of the control system. At the same time, the coupling between the components was studied. Second, to reduce the adverse effects of the coupling, a fuzzy controller with dynamic coupling compensation was designed. As for the fuzzy controller, a self-tuning fuzzy controller was served as the primary controller, and an adaptive neural network was adopted to compensate the dynamic coupling. Finally, the proposed control strategy was employed to the cold storage refrigeration system, and simulations were carried out in the condition of start-up, variable load, and variable degree of superheat, respectively. The simulation results verify the effectiveness of the fuzzy control method with dynamic coupling compensation.


Author(s):  
Kazuto Seto ◽  
Chinori Iio ◽  
Shigeru Inaba ◽  
Shingo Mitani ◽  
Fadi Dohnal ◽  
...  

This paper presents a vibration control method for multiple high-rise buildings against large earthquake motion. This method is called as “Connected Control Method (CCM)” and has the merit of obtaining enough control force to protect high-rise buildings from large earthquakes using passive and semiactive devices. In this paper, first a modeling approach for four scaled building structures is shown and effectiveness of the CCM using LQ control approach for them is demonstrated by seismic response control results. Next, in order to reduce the supplied power, a semi-active control approach in place of active control is applied for the CCM. For this purpose, a new MR damper is developed and designed to have a close performance with results of the LQ control. This performance is verified by measured frequency responses.


2009 ◽  
Vol 12 (4) ◽  
pp. 547-558 ◽  
Author(s):  
Yan Bao ◽  
Cheng Huang ◽  
Dai Zhou ◽  
Yao-Jun Zhao

In this paper, a semi-active optimal control strategy for spatial reticulated structures (SRS) with MR dampers subjected to dynamic actions was proposed. The motion equation of SRS embedded with MR dampers was set up. The performance function of the optimal control strategy including both the structural responses and the control efforts was constituted for the optimization of feedback gain and MR damper placement in SRS, and an integrated method of genetic-gradient based algorithm was developed to solve this optimization problem. The clipped-optimal semi-active control strategy in the conjunction of velocity output feedback was applied to compute the desired control force from the MR dampers. Finally, a numerical example of SRS dealing with optimal placement of MR dampers and feedback gains of control system demonstrates the validity of the present semi-active optimal control strategy.


2013 ◽  
Vol 694-697 ◽  
pp. 2185-2189
Author(s):  
Xiao Ping Zhu ◽  
Xiu Ping Wang ◽  
Chun Yu Qu ◽  
Jun You Zhao

In order to against the uncertain disturbance of AC linear servo system, an H mixed sensitivity control method based on adaptive fuzzy control was putted forward in the paper. The controller is comprised of an adaptive fuzzy controller and a H robust controller, the adaptive fuzzy controller is used to approximate this ideal control law, H robust controller is designed for attenuating the approximation errors and the influence of the external disturbance. The experimental results show that this control strategy not only has a strong robustness to uncertainties of the linear system, but also has a good tracking performance, furthermore the control greatly improves the robust tracking precision of the direct drive linear servo system.


Author(s):  
Yunqing Zhang ◽  
Si Gao ◽  
Lingyang Li ◽  
Liping Chen ◽  
Jingzhou Yang ◽  
...  

Vehicle stability control system can enhance the vehicle stability and handling in the emergency situations through the control of traction and braking forces at the individual wheels. This paper presents a Fuzzy synthesis control strategy with an ideal 2-DOF linear model and optimization of the control parameters. The control strategy consists of Fuzzy control of two control objectives (yaw velocity ω and sideslip angle β). Fuzzy functions can adjust and control these two objectives and through Matlab Fuzzy control unit & ADAMS multi-body vehicle dynamic model we obtain optimized simulation. The co-simulation scenario is on iced road with a single sine steering angle input and in a high speed. The control parameters are optimized and analyzed by a combined optimization algorithm (Genetic Algorithm (GA) and Nonlinear Programming Quadratic Line search (NLPQL) method) combined with response surface model (RSM). The simulation results show that the handling stability and safety of the vehicle can be enhanced by the Fuzzy control method that can adapt complex road and driving conditions.


2017 ◽  
Vol 7 (3) ◽  
pp. 1638-1646
Author(s):  
M. Sareban

Recently active structure controllers were considered to deal with the impact of earthquake forces and the result of the investigations provided multiple algorithms to calculate force control and many different ways to apply these forces on the structure. In this study, the efficiency and effectiveness of three methods (linear quadratic regulator, fuzzy logic and pole assigning) are investigated. In addition, three buildings with different height classes with an active tuned mass damper (ATMD) on the top floor are considered to compare the active control methods. Examples with known mass and stiffness and with variable mass are considered. The results show that all three control methods used for the ATMD device reduce the structural response. The fuzzy control method, caused a sharp decline in relative displacement of building floors up to 80%. But in LQR and pole allocation procedures the applied force is limited. The best performance of fuzzy control is for high-rise buildings. The three different methods of control are stable in different masses and even under a random change of floor masses, their effectiveness can be trusted.


2014 ◽  
Vol 898 ◽  
pp. 578-581
Author(s):  
Yu Lin Yan ◽  
Jia Qi Li ◽  
Zi Li Liao ◽  
Chun Guang Liu

In order to recycle part of the brake energy in the driving hub motor of the 8X8 electric vehicles. And the energy utilization rate of electric drive vehicles should be increased, the wear of mechanical brake system should be reduced. A fuzzy control method is established for mechanical and electrical joint brake. It can be used to establish a principle of the distribution of brake. Through the simulation on MATLAB platform, it shows that this control method is efficient in improvement of brake ability, distribution of brake distribution, and the energy recycling.


Author(s):  
Xiaochuan Yu ◽  
Tianwei Ma ◽  
Jeffrey M. Falzarano

A new semi-active control strategy is developed to adjust the voltage/current of magnetorheological (MR) dampers to track the optimal/desired damping force by the Linear Quadratic Regulator (LQR) method. Integrated with the new strategy, a modified inverse dynamic model is proposed to evaluate the value of evolutionary variable based on the Bouc-Wen model of MR dampers. This new strategy is firstly applied to a one-story building under El-Centro earthquake, and it is further applied to the dynamic response control of a fixed jacket offshore platform. The results show that this new semi-active control strategy can achieve efficient vibration control.


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