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本文阐述了磨矿回路分布式综合性的自适应前馈控制。这种多变量系统通常用于选矿工业中的矿石破磨。其特点在于,当矿石性质和运行条件变化时,系统的动态特性随时变化。新的给矿量和加水量、循环负荷、以及产品细度分别被选定为控制和被控制变量。考虑长期自适应控制的要求,用最小二乘法建立两个单输入——单输出参量的独立模型。用模拟器求得数学结果,该模拟器以衍源于物料平衡的现象学模型为基础,这类自适应控制器相当于一种固定的参数控制器。数字结果说明了控制器的自调整能力及控制策略的连续自适应性,同时,其突出点还在于这种自适应控制尤其适用于分散控制。
This paper describes the distributed comprehensive grinding feedforward adaptive feedforward control. This multivariable system is often used for ore breakage in the mineral processing industry. Its characteristic is that, when the ore properties and operating conditions change, the dynamic properties of the system change at any time. New feed and water additions, cyclic loads, and product fineness were selected as control and controlled variables, respectively. Considering the requirements of long-term adaptive control, two independent models of single-input-single-output parameters are established by least square method. The mathematical results are obtained with a simulator based on a phenomenological model derived from material balance, which is equivalent to a fixed parameter controller. The numerical results show the self-adjusting ability of the controller and the continuous adaptability of the control strategy. At the same time, the outstanding point is that this adaptive control is especially suitable for decentralized control.