Optimization method based on genetic algorithm for the mass compensation of the rotor on-line dynamic balance system

Abstract

Abstract The rotor is the key component of the rotary drilling rig, it can realize the rotation and feed movement of the drill. the rotor unit of the rotary drilling rig should take on-line dynamic. Because unbalanced faults would lead to vibration. In order to further improve the pricision of on-line dynamic balance, an optimization strategy based on Genetic Algorithm for the mass compensation of the rotor on-line dynamic balancing system is proposed. A mass compensation optimization model is established. By the way of taking the phase of counterweight movement as the optimization variable. At the same time,taking the residual stress under dynamic balance as the optimization objective. According to the principle of Genetic Algorithm, the movement phase of the counterweight can be calculated when the residual force reaches the minimum value. By performing simulation analysis, the residual force can be calculated under different rotating speeds and different amount of unbalance, the residual force after optimizing balance can be reduced greatly. The simulation results showed that the residual force of the rotor after optimizing balance can decrease by 95.74% on average. Therefore, an optimization strategy based on Genetic Algorithm for the mass compensation of the rotor can effectively improve dynamic balance precision and operating performance of rotary drilling rig.