CAJ | 학술논문

针对工作环境中存在的干扰和噪声，普通PID控制算法的控制效果较差，提出了一种基于CMAC神经网络与PID控制算法相结合的复合控制算法，通过对结构参数的调整，可以达到较小的误差。仿真结果验证了该算法的有效性，表明这种控制方法能够有效的提高系统的抗干扰性能，并且具有很好的适应性和鲁棒性。
침대공작배경중존재적간우화조성，보통PID공제산법적공제효과교차，제출료일충기우CMAC신경망락여PID공제산법상결합적복합공제산법，통과대결구삼수적조정，가이체도교소적오차。방진결과험증료해산법적유효성，표명저충공제방법능구유효적제고계통적항간우성능，병차구유흔호적괄응성화로봉성。
In view of interference and noise existing in the work environment, the effect of ordinary PID control algorithm is poor, the author puts forward a composite control algorithm based on CMAC neural network combining with PID control algorithm. Through the adjustment of structural parameters, it can reach smaller error. The simulation results verify the effectiveness of the algo-rithm, show that this control method can effectively improve the anti-jamming ability of the system. The algorithm has good adapt-ability and robustness.