CAJ | 학술논문

CVT电液伺服系统在工作时，由于工作元件动力学性能的改变，造成系统的非线性和参数时变，为了降低建立系统控制模型的误差，采用最小二乘递推算法对系统参数进行辨识。提出了免疫粒子群控制算法，设计出免疫粒子群PID控制器，对最优指标和PID参数进行寻优，并将该控制方法应用于CVT电液伺服系统中。仿真结果表明，与模糊控制算法相比，基于免疫粒子群算法的CVT电液伺服系统的动态特性得到了有效的改善，提高了系统抗干扰能力以及参数时变的鲁棒性。
CVT전액사복계통재공작시，유우공작원건동역학성능적개변，조성계통적비선성화삼수시변，위료강저건립계통공제모형적오차，채용최소이승체추산법대계통삼수진행변식。제출료면역입자군공제산법，설계출면역입자군PID공제기，대최우지표화PID삼수진행심우，병장해공제방법응용우CVT전액사복계통중。방진결과표명，여모호공제산법상비，기우면역입자군산법적CVT전액사복계통적동태특성득도료유효적개선，제고료계통항간우능력이급삼수시변적로봉성。
In order to reduce the error to establish the system control model ,recursive least squares algorithm is used to identify the system parameters ,when CVT electro-hydraulic servo system at work ,as a result of changes in dynamic performance of work-ing element,resulting in the nonlinear and time-varying parameters.The immune-particle swarm control algorithm is proposed ,de-signing immune-particle swarm PID controller ,optimizing optimal index and PID parameters ,and using this method in CVT elec-tro-hydraulic servo system .The simulation result has indicated that the CVT electro-hydraulic servo system ’ s dynamic character-istic compared with fuzzy control system has improved effectively which based on immune -particle swarm algorithm ,sharpened the system’ s anti-interference ability as well as parameter time-variance robustness .