基于弱控制信号分类强化的仿真机械手臂控制方法

针对当前的仿真机械臂控制系统中,存在的信号奇异性、强度退化等缺陷,提出一种基于弱控制信号强化的仿真机械臂控制方法,通过对多区域内,产生冲突的控制信号进行多重分形,对可能产生的冲突信号区域进行信号的强化处理,保证后期信号能够准确的到达识别区域,使得控制特征更加的明显。实验结果表明,该方法对复杂的控制信号种类实现了较为准确的划分强化,准确的控制仿真机械臂的后期动作,取得了理想的效果。

Simulation control method of the mechanical arm based on the classification and strengthen weak control signal

Aiming at the simulation of mechanical ann control system, there is a signal singularity, strength degradation de- fects , a method is proposed based on a weak signal strengthen control of mechanical ann control simulation. The multiracial is done for conflict control signal, the strengthen treatment is also done for the possible conflict signal in the many areas ,the late signal could ensure arriving truly at the identification areas, it could make the control characteristics more obvious. The exper- imental results show that this method could achieve a more accurate division strengthening cffcction for complex control signal types, the accurate control simulation of mechanical ann later action have a good results.