Predictive control brings new ideas and powerful tools to optimization‐based control in industrial processes. To meet various requirements of complex industrial processes, not only new algorithms but also efficient control structures, as well as application‐oriented new optimization concepts and strategies, have been developed, which construct an important part of predictive control research and show the diversity of predictive control in applications. In this chapter, we will give some examples of such developments, which not only helps to better understand the basic principles of predictive control but also exhibits the flexibility of predictive control in practical use, and thus can provide a useful reference for predictive control applications.
9.1 Predictive Control Combined with Advanced Structures
9.1.1 Predictive Control with a Feedforward–Feedback Structure
It is well known that in addition to control inputs, there are also uncontrollable system inputs, including measurable or predicable external actions that cannot be manipulated, and unknown disturbance. The purpose of control is to adjust the control inputs continuously to suppress the influence of these uncontrollable inputs such that the system outputs have a desired dynamic behavior. For an unknown disturbance with no rule to follow, the adjustment is only available when the disturbed effect appears in measurable variables. Thus this ...