基于多元回归混合优化算法参数辨识的电子节气门开度跟踪控制研究

Research on electronic throttlevalve opening tracking control based on parameter identification of multiple regression hybrid optimization algorithm

提出了简化的节气门模型结构,采用了多元回归混合优化算法(Multiple regression chaos optimization algorithm,MRCOA),完成了参数辨识.该方法相比于传统的COA算法,在模型精度和算法收敛速度上都有明显提高.基于简化的节气门模型,提出了模型前馈加反步法(backstepping)反馈相结合的开度控制方法.实验表明,该方法相比于反步法开度控制在响应速度和超调量方面具有明显的优势.

A simplified throttle model was proposed,and Multiple regression chaos optimization algorithm(MRCOA)was used to complete parameter identification.Based on the simplified throttle model,an open control method combining model feedforward with backstepping feedback was proposed.The experimental results show that this method has obvious advantages in response speed and overshoot compared with the backward step method.