The dynamics of runaway processes are unstable in nature and to control such processes with measured disturbances, an advanced regulatory control scheme such as cascade control is required. In this research, a control structure is suggested based on a generalized predictor scheme for controlling unstable processes in parallel cascade control architecture. The scheme is developed with two loops. An IMC controller is designed for the inner (secondary) loop and a PID controller with a lag compensator is designed for the outer (primary) loop. Along with a servo tracking controller, the primary loop consists of a generalized predictor structure having two filters capable of providing enhanced disturbance rejection and time delay compensation. The complexity associated with the suggested predictor is lesser on account of the fact that only a single tuning parameter needs to be tuned so as to attain a trade-off between regulation capabilities and performance under uncertainties. Simulation analysis is performed on different integrating as well as unstable parallel cascade processes. Obtained performances with the devised control strategy are compared with the existing methods. Quantitative evaluation in terms of the corresponding costs for output and input are carried out. The developed predictive strategy is found to deliver enhanced closed loop performances with a lesser control cost.

失控过程的动力学本质上是不稳定的，并且为了利用测得的干扰来控制此类过程，需要先进的调节控制方案，例如级联控制。在这项研究中，提出了一种基于广义预测器方案的控制结构，用于控制并行级联控制体系结构中的不稳定过程。该方案有两个循环。IMC控制器设计用于内部（次级）环路，PID控制器带有滞后补偿器设计用于外部（初级）环路。与伺服跟踪控制器一起，主回路由具有两个滤波器的广义预测器结构组成，这些滤波器能够提供增强的抗扰性和时延补偿。由于仅需调整一个调整参数，以便在不确定性下调节能力与性能之间进行权衡，因此与建议的预测变量相关的复杂性较小。对不同的积分以及不稳定的并行级联过程执行仿真分析。将设计的控制策略获得的性能与现有方法进行比较。根据产出和投入的相应成本进行定量评估。发现已开发的预测策略可以以较低的控制成本提供增强的闭环性能。对不同的积分以及不稳定的并行级联过程执行仿真分析。将设计的控制策略获得的性能与现有方法进行比较。根据产出和投入的相应成本进行定量评估。发现已开发的预测策略可以以较低的控制成本提供增强的闭环性能。对不同的积分以及不稳定的并行级联过程执行仿真分析。将设计的控制策略获得的性能与现有方法进行比较。根据产出和投入的相应成本进行定量评估。发现已开发的预测策略可以以较低的控制成本提供增强的闭环性能。