backlash characteristics

基本解释

This paper researches backlash nonlinear characteristics generally existing in digital AC servo systems.
本论文针对数字交流伺服系统间隙非线性进行了研究。
Based on this, the gear backlash can be rationally selected and the dynamic characteristics of the mechanism will be improved.
为优化齿侧间隙的大小、提高机构动力学特性提供理论指导。
Aim To eliminate the influences of backlash nonlinear characteristics generally existing in servo systems, a nonlinear compensation method using backpropagation neural networks(BPNN) is presented.
目的为了消除普遍存在于伺服系统中的间隙非线性的影响，提出一种利用B P 神经网络进行非线性补偿的方法。