MULTIOBJECTIVE OPTIMIZATION FOR DYNAMIC BALANCING OF FOUR- BAR MECHANISM

Abstract

This paper presents an optimization technique for dynamic balancing of four-bar mechanism in order to minimize shaking force and shaking moment. The balancing problem is solved as multi- objective optimization problem and thus avoids the use of weighting factors. Kinematic and dynamic parameters of four-bar mechanism are taken as design variables. The eight objective functions, that contain joint reaction forces, input torque, shaking force and shaking moment, are simultaneously minimized. A new algorithm, named sub-population firefly algorithm is used for solving the optimization problem under the defined constraints. The standard FA algorithm was improved in two ways. The first improvement is related to avoidance of local minimum, and the second improvement provides satisfaction of constraints in each iteration step. By applying the proposed algorithm, a certain decrease at the shaking force and shaking moment is achieved. The effectiveness of the improved algorithm is discussed.