THE MULTI-OBJECTIVE FUZZY OPTIMIZATION TECHNIQUE AND ITS APPLICATION ON THE VIBRATION ABSORBER

• Main Author: 郭信川
• Other Authors: Hung,Chen-Far
• Format: Others
• Language: zh-TW
• Published: 1994
• Online Access: http://ndltd.ncl.edu.tw/handle/48871322171924045402

博士 === 國立臺灣大學 === 造船工程學系 === 82 === A constraint with fuzzy information is called a fuzzy constraint. Some mutual-conflicting objectives may also exist in an optimal design problem. For the design problem with fuzzy constraint, based on the decision-making model proposed by Bellman and Zadeh, an multi-objective fuzzy optimization technique is proposed and used to find the best compromise solution to the conflicting objective functions rationally. First, a membership function is used to describe the satisfied grade for the fuzzy constraint,and then to find the interval of possible optimum value for each objective function. Secondly, the interval of each objective function is converted into a membership function. Finally, a multi-objective problem with fuzzy constraint can be transformed into a conventional single objective problem. A reliable and efficient algorithm based on the sequential quadratic programming(SQP) method is developed and used to solve above single objective problem. In this thesis, the characteristics of the vibration absorber with a small mass ratio in a two masses dynamic system is studied by using the multi-objective fuzzy optimzation technique. A case which a control force acting between the main syetem and absorber is introduced, the dynamic effect due to this parameter is also studied. To obtain the minimum dynamic response of the main system and absorber simultaneously is self-conflicting. Thus, the best compromise solution is obtained by using the multi-objective fuzzy optimization technique. The design parameters of an active and passive absorber is also optimized. Finally,a simple dynamic model of 3-D structure is used to xamine the problem encountered in the two masses model.