基于粒子群优化的改进四次S型加减速控制算法

针对基于传统三次S型加减速算法在数控机床起止端加加速度不连续，存在柔性冲击，以及传统四次S型加减速算法模型繁复，时间复杂度高的问题，设计加加速度曲线在加速区间、减速区间的开始和结束阶段连续不断变化，提高了速度曲线变化的平滑性，减低了工件加工运行时间。同时，提出一种基于粒子群算法的速度规划方法，根据加减速控制模型构建其适应度函数，继而得到加减速规划所需的所有参数。最后通过MATLAB对所提算法进行仿真实验。结果表明：所提算法能有效降低系统的柔性冲击，并提高加工精度和运行效率。

An Improved Quadratic S-Type Acceleration and Deceleration Control Algorithm Based on Particle Swarm Optimization

Aiming at the problems, discontinuous acceleration at the start and end of the computer numerical control machine tool based on the traditional three times S-type acceleration and deceleration algorithm, the existence of flexible impact, and the complexity of the traditional four times S-type acceleration and deceleration algorithm model, as well as the long calculation run time, to design the acceleration curve to continuously change at the beginning and end of the acceleration interval and deceleration interval, which improves the smoothness of the speed curve change and reduces the workpiece processing run time. At the same time, a speed planning method based on particle swarm optimization algorithm is proposed, and its fitness function is constructed according to the acceleration and deceleration control model, then all the parameters, required for acceleration and deceleration planning, are obtained.Simulated the algorithm though MATLAB at last, the results are able to prove the algorithm can effectively reduce the flexible impact of system and improve machining accuracy and efficiency.