Stability Analysis of DESA Optimization Algorithm

2020 ◽  
pp. 17-31
Author(s):  
Rizavel C. Addawe ◽  
Joselito C. Magadia
Keyword(s):  
Stability Analysis ◽  
Optimization Algorithm

scholarly journals Tip-Over Stability Analysis of a Pelvic Support Walking Robot

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yawei Han ◽  
Shuai Guo ◽  
Leigang Zhang ◽  
Fengfeng (Jeff) Xi ◽  
Weiwei Lu
Keyword(s):  
Stability Analysis ◽  
Optimization Algorithm ◽  
Influence Factors ◽  
Gait Training ◽  
Static Case ◽  
Walking Robot ◽  
Interaction Forces ◽  
Force Moment ◽  
Pelvic Support ◽  
The Stability

Discussed in this paper is the tip-over stability analysis of a pelvic support walking robot. To improve the activities of daily living (ADL) in hemiplegic patients, a pelvic support walking robot is proposed to help patients facilitating their rehabilitation. During the gait training with the robot, the abnormal man-machine interaction forces may lead to the tip-over of the robot, which is not beneficial to the rehabilitation process. A new method is proposed to predict the possibility of tipping over and evaluate the stability of the robot based on statics model, dynamics model, and zero-moment point (ZMP) theory. Through the interaction forces and moments analysis with static case, the safe point (ZMP) is studied, and the influence factors of force/moment are analyzed by dynamics case. An optimization algorithm based on the genetic algorithm (GA) is proposed to reduce the risk of tipping over. The simulation results show that the optimization algorithm can keep the robot from tipping over when the interaction forces exceed the safety threshold.

scholarly journals Seismic Analysis of Earth Slope Using a Novel Sequential Hybrid Optimization Algorithm

2022 ◽  
Author(s):  
Mohammad Khajehzadeh ◽  
Suraparb Keawsawasvong ◽  
Payam Sarir ◽  
Dlshad Khurshid Khailany
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Optimization Algorithm ◽  
Seismic Analysis ◽  
Slope Stability Analysis ◽  
Pattern Search ◽  
Hybrid Optimization ◽  
Seismic Slope Stability ◽  
Hybrid Optimization Algorithm ◽  
Earth Slope

One of the most important topics in geotechnical engineering is seismic analysis of the earth slope. In this study, a pseudo-static limit equilibrium approach is applied for the slope stability evaluation under earthquake loading based on the Morgenstern–Price method for the general shape of the slip surface. In this approach, the minimum factor of safety corresponding to the critical failure surface should be investigated and it is a complex optimization problem. This paper proposed an effective sequential hybrid optimization algorithm based on the tunicate swarm algorithm (TSA) and pattern search (PS) for seismic slope stability analysis. The proposed method employs the global search ability of TSA and the local search ability of PS. The performance of the new CTSA-PS algorithm is investigated using a set of benchmark test functions and the results are compared with the standard TSA and some other methods from the literature. In addition, two case studies from the literature are considered to evaluate the efficiency of the proposed CTSA-PS for seismic slope stability analysis. The numerical investigations show that the new approach may provide better optimal solutions and outperform previous methods.

Sign in / Sign up

Export Citation Format

Share Document