Any talk of model-based predictive control (MPC) still conjures up images of dollar or euro signs in the minds of many engineers. For in the past, MPC and other forms of advanced process control (APC) ...

Model Predictive Control (MPC) has emerged as a pivotal strategy for optimising the performance of power electronic converters and motor drive systems. By utilising an explicit model of the controlled ...

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

An international research team has tested a hybrid control technique combining adapted perturb and observe (APO) with model-predictive control to address complex partial shading in solar arrays. The ...

Bruce Slusser from Avanceon highlights how AI improves model predictive control (MPC) systems by increasing predictive accuracy and enabling real-time optimization of complex processes. The ...

he Rockwell Automation Pavilion8 Model Predictive Control application helps manufacturers achieve precision in a dynamic market, reducing product variability, while increasing yield and lowering ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

Each year a panel reviews papers nominated from the past two years and selects an article of high significance. The paper, published in 2022, describes the first experimental implementation of Model ...

In order for wind turbines to function effectively across wide ranges of wind conditions, you’ll need what’s known as blade pitch control. Lucy Pao, the Palmer Endowed Chair Professor in the ...