【摘要】 研究广义预测自校正控制算法在液位控制系统中的设计方案 ,建立被控对象 CARIMA模型 ,讨论算法优化性能指标中的参数选择 .针对基本的最小二乘法产生的对象模型参数估计不准的问题 ,在参数的递推估计、参数估计的收敛速度、参数估计的在线检验以及对象输入输出数据的处理 4个方面给出相应的改进方法 .实验结果表明 ,所采用的设计方法合理可行 ,具有一定的实用价值 .更多还原

【Abstract】 The design of generalized predictive control (GPC) algorithm in a liquid level control system is studied, the CARIMA model of object is constructed, and the parameters selection of optimization measures in GPC is given. In order to solve the problems that are produced by the basic least squares algorithm in estimating the model parameters, the improved methods are given in the parameters recursive estimation, estimation convergence speed, estimation online verifying and in dealing with the input and output data of the object. Experimental results show that the improved methods are reasonable and practicable.更多还原