Multivariable nature of the flotation process compels advanced control strategies, including Model Predictive Controllers (MPC), leading to robust and effective compensation of disturbances. However, the complexity of calculations and implementation has limited their application in the industry. On the other hand, decoupling methods promise drastic reduction in computation time and complexity, while considering the multivariable relations between the inputs and outputs indirectly. Therefore, in this paper, an Adaptive Decoupling Controller (ADC) was designed and implemented on a pilot flotation column and its control performance was compared to MPC and SISO PID. Results showed that the weak coupling of variables in the studied case (and also reported by other researchers) causes a satisfactory control of the column by ADC, even better than the MPC in terms of Integral Squared Error index (ISE), Mean Squared Error index (MSE) and total energy consumption, with lower costs of computation and implementation.

浮选过程的多变量特性迫使采用先进的控制策略，包括模型预测控制器 (MPC)，从而实现稳健有效的扰动补偿。然而，计算和实现的复杂性限制了其在工业中的应用。另一方面，解耦方法有望大幅减少计算时间和复杂性，同时间接考虑输入和输出之间的多变量关系。因此，在本文中，自适应解耦控制器 (ADC) 被设计并在中试浮选柱上实现，并将其控制性能与 MPC 和 SISO PID 进行了比较。结果表明，研究案例中变量的弱耦合（以及其他研究人员的报告）导致 ADC 对色谱柱进行了令人满意的控制，