Optimum design method for four-bar function generator using AIS and genetic algorithms

Abstract

In this paper, synthesis of the steering mechanism is optimized using Artificial Immune System (AIS) Algorithm and Genetic Algorithm for best function generation. A four-bar mechanism is employed as the Ackermann steering mechanism. For the first time the optimization in this problem is implemented with two methods. In the first method the length are selected as optimization parameter and precision points distribution is considered as optimization parameter in the second method. For the first method two of links have the same length in order to have a symmetric mechanism. For the precision point distribution method, five precision points are considered which one of them is in the straight line condition and the others are symmetric. Artificial Immune System (AIS) Algorithm and GA have been used as appropriate optimization strategies. The obtained result shows that in both methods, the AIS algorithm can produce more accurate function close to the desire function rather than GA. Moreover it has identified that the first method, length as optimization parameter, is more practical because of its ability to satisfy all dimensional constraints.