液压伺服系统智能PID控制

【作者】 江小平；

【导师】 陈机林；

【作者基本信息】 南京理工大学 ， 机械电子工程， 2003， 硕士

【摘要】 现代武器系统对伺服控制系统的快速性、准确性和稳定性提出了很高要求，同时系统还必须对恶劣环境有较强的适应能力。由于武器系统的负载转动惯量和阻力矩变化大，并且存在很强的干扰力矩作用，系统的模型参数变化很大。 本文改进了PX-8电液伺服系统，对伺服放大器进行了重新设计。考虑到系统在工作中，常规PID控制方法难于获得始终良好的控制效果，本文尝试了一种基于遗传算法和神经网络的智能PID控制方法，并进行了系统仿真和实验台实验研究。 仿真和实验结果表明，本文所提出的智能控制方法具有很好的自适应性和鲁棒性，可以有效的抑制负载变化和外界干扰对系统的不利影响，具有较好的控制效果。更多还原

【Abstract】 According to the requirements of modern national defenses, the speediness, accuracy and stability of servo system must have greater capabilities, and at the same time the system must be adaptive to hard circumstances. The variation of load has a wide range, and also with very strong interference moment. All these make the parameters of system change widely.In this paper, a hydraulic press servo system modeled PX-8 was improved, and the servo controller was redesigned. Because of the hard circumstances, it’s difficult to obtain satisfied results by using the traditional control methods. So I tried an intelligent PID control method, which is based on neural network theory and genetic algorithm. Simulations and experiments were brought into effect on the system.The results of simulations and experiments show that the intelligent PID controller is very self-adaptive and robust, it can inhibit the interferences caused by the load change effectively, and satisfy the design requirements.更多还原