CARMAX模型的在线修正参数预测滤波PID控制  

Prognosis-filtering PID control with on-line modifying parameter for CARMAX model

作　　者：侯小秋[1] 

机构地区：[1]黑龙江科技大学电气与控制工程学院,哈尔滨150022

出　　处：《黑龙江科技大学学报》2015年第6期686-691,共6页Journal of Heilongjiang University of Science And Technology

摘　　要：针对CARMAX模型,采用系统的输出预测值代替系统的当前输出值,提出一具有预测控制性能的增量型预测滤波PID控制算法。采用改进可克服算法病态的递推最小二乘算法对被控对象进行参数估计,利用自校正预报显式算法对系统输出进行预测,根据建立的可克服算法病态的直接极小化指标函数自适应控制算法和Robbins-Monro算法,给出具有在线修正PID控制参数和加快PID控制参数收敛性能的CARMAX模型的自适应预测滤波PID控制算法。结果表明:所给出的算法具有较好的预测控制性能和控制品质。This p aper introduces an algorit hm behind prognosis-filtering PID control——an incremental algorithm with predictive control performance. The algorithm is developed by using the forecast output values of the system instead of the current output values of the system for CARMAX model. The study details parameter estimation of controlled model using the modified recursive least squares algorithm capable of overcoming drawbacks inherent in algorithm; prediction of the system output using the self-tuning prediction explicit algorithm; and the development of an adaptive prognosis-filtering PID control algorithm capable of on-line modification of PID control parameters and faster convergence of PID control parameter for CARMAX Model using the combination of newly developed adaptive control algorithm capable of overcoming drawbacks inherent in algorithm for direct minimization index function and the Robbins-Monro algorithm. Results indicate that the proposed algorithm exhibits the superior predictive control performance and control quality.

关 键 词：自适应控制 预测控制 PID控制 参数估计 自校正预报 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]