Task Based Mechatronic System Design using Differential Evolution Strategies

Abstract

Abstract. A dynamic design approach for a mechatronic system called task based mechatronic system design approach (TBMSDA) is stated as a nonlinear dynamic optimization problem (NLDOP) and it is solved by using a differential evolution technique. The design of a parallel robot is carried out by this approach which integrates in a simultaneous way both the structure design parameters of a parallel robot and the PID controller gains in order to improve the position errors and the robot dexterity for executing a specific task. The TBMSDA considers the dynamic system as an equality constraint into the optimization problem. Through the TBMSDA, an optimal combination of the structure and PID controller gains for a planar five-bar parallel robot is obtained. Simulation results show the effectiveness of this design approach.