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为解决工业过程控制领域中系统非线性部分输入输出强耦合特性问题,提出一种将非线性模型在每一采样时刻利用数学变换转换成全局线性模型的方法.在此基础上,在目标函数中引入输出误差的变化并在性能指标中加入约束项,通过比较实际被控量与所设计被控量数目,确定实际被控量所在区间的位置,使控制器采取相应的动作,从而实现区间控制及多变量约束迭代预测控制.仿真结果证明了该算法的有效性和可行性.
In order to solve the problem of strong input and output of nonlinear system in the field of industrial process control, a method of converting the nonlinear model into a global linear model by mathematical transformation at each sampling time is proposed. On the basis of this, The change of output error is introduced and the constraint term is added into the performance index. By comparing the actual controlled quantity with the designed controlled quantity, the position of the actual controlled quantity is determined, and the controller takes the corresponding action so as to realize the interval control And multivariable constrained iterative predictive control.The simulation results prove the effectiveness and feasibility of the proposed algorithm.