首页|基于布谷鸟算法的数控系统加减速参数规划

基于布谷鸟算法的数控系统加减速参数规划

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针对传统加减速参数规划算法只适用于其对应加减速模型,移植性差以及求解动力学参数效率低的问题,提出一种适用于加减速段加加速度曲线中心对称模型的加减速参数规划算法.首先,构建加减速段加加速度曲线中心对称的模型,同时基于时间最优的原则,将模型内动力学参数规划问题转变为求解最优化问题;其次,具体化加减速段内加加速度首段曲线,构建最大速度与最短运动时间之间的映射关系;最后,设计布谷鸟算法内适应度函数,迭代寻找最优解.仿真实验证明,所提出算法能够适用于三阶、四阶S形以及正弦模型等复杂模型,求解效率较传统二分算法以及牛顿迭代法分别有65.8%、36.5%的提升,同时证明算法有效性、可靠性.
Design of Acceleration and Deceleration Control Algorithm Based on Cuckoo Algorithm
In response to the problems of poor portability and low efficiency of traditional acceleration and deceleration parameter planning algorithms in solving dynamic parameters,an acceleration and deceleration parameter planning algorithm suitable for the centrosymmetric model of the jerk curve in the acceleration and deceleration phase is proposed.Firstly,a model with a symmetrical center of the jerk curve during the acceleration and deceleration phase is constructed,and based on the principle of time optimization,the dy-namic parameter planning problem within the model is transformed into solving optimization problems;Sec-ondly,the first curve of jerk in the acceleration and deceleration phase is concretized,while a mapping rela-tionship is constructed between the maximum speed and the shortest motion time;Finally,the fitness func-tion within the cuckoo algorithm is designed to search for the optimal solution.The simulation experiments show that the proposed algorithm can be applied to complex models such as third-order,fourth-order S-shaped and sinusoidal models,and the solution efficiency is improved by 65.8%and 36.5%respectively compared with the traditional dichotomy algorithm and Newton Iterative method.At the same time,the ef-fectiveness and reliability of the algorithm are verified.

acceleration and deceleration algorithmoptimization problemcuckoo algorithmcentrosym-metric curve

张鑫、潘丰

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江南大学轻工过程先进控制教育部重点实验室,无锡 214122

加减速算法 最优化问题 布谷鸟算法 中心对称曲线

2024

组合机床与自动化加工技术
大连组合机床研究所 中国机械工程学会生产工程分会

组合机床与自动化加工技术

CSTPCD北大核心
影响因子:0.671
ISSN:1001-2265
年,卷(期):2024.(5)
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