Differential evolution based adaptation for the direct current motor velocity control parameters

作者：Villarreal Cervantes Miguel G^*; Mezura Montes Efren; Yair Guzman Gaspar Jose

来源：Mathematics and Computers in Simulation, 2018, 150: 122-141.

DOI：10.1016/j.matcom.2018.03.007

• Bio-inspired adaptive control
• Differential evolution
• Bio-inspired optimization
• DC motor
• Velocity control

The adaptive design of the control system for a direct current motor is solved by proposing differential evolution based control adaptation (DEBAC). From the comparison of two differential evolution variants with two constraint-handling techniques, a competitive algorithm based on arithmetic crossover and a set of feasibility rules is obtained. In addition, a comparison of such competitive differential evolution variant against a traditional control technique considering stabilization and tracking is provided. Based on the empirical results, the proposed approach outperforms the traditional method by using three well-known performance indices for closed-loop control, confirming that DEBAC is a valid alternative to control the direct current motor under parametric uncertainties.

• 出版日期2018-8