Step 3 of our controller design and tuning recipe is to approximate the often complex behavior contained in our dynamic process test data with a simple first order plus dead time (FOPDT) dynamic model. In this article we focus on process dead time, Өp, and seek to understand what it is, how it is computed, […]
Step 3 of our controller design and tuning recipe is to approximate the often complex behavior contained in our dynamic process test data with a simple first order plus dead time (FOPDT) dynamic model. In this article we focus on process time constant, Tp, and seek to understand what it is, how it is computed, […]
Step 3 of our controller design and tuning recipe is to approximate the often complex behavior contained in our dynamic process test data with a simple first order plus dead time (FOPDT) dynamic model. In this article we focus on process gain, Kp, and seek to understand what it is, how it is computed, and […]
A previous article presented the first order plus dead time (FOPDT) dynamic model and discussed how this model, when used to approximate the controller output (CO) to process variable (PV) behavior of proper data from our process, yields the all-important model parameters: ▪ process gain, Kp (tells the direction and how far PV will travel) […]