Identification of First-order Plus Dead Time Model from Step Response Using HS Algorithm

Analytical approach to tuning of model predictive control for first-order plus dead time models

Model predictive control (MPC) is an effective control strategy in the presence of system constraints. The successful implementation of MPC in practical applications requires appropriate tuning of the controller parameters. An analytical tuning strategy for MPC of first-order plus dead time (FOPDT) systems is presented when the constraints are inactive. The available tuning methods are generall...

Statistical Analysis of First Order Plus Dead-time System using Operational Matrix

To increase precision and reliability of automatic control systems, we have to take into account of random factors affecting the control system. Thus, operational matrix technique is used for statistical analysis of first order plus time delay system with uniform random parameter. Examples with deterministic and stochastic disturbance are considered to demonstrate the validity of the method. Co...

Robust Tuning of Dynamic Matrix Controllers for First Order plus Dead Time Models

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Remote-Tuning – Case Study of PI Controller for the First-Order-Plus-Dead-Time Systems

Estimation of parameters of under-damped second order plus dead time processes using relay feedback

Unknown process parameters are identified using limit cycle data of the relay–response curves obtained from single relay feedback test on second order plus dead time (SOPDT) processes. Time domain analytical expressions of these curves are helpful in deriving conditions to estimate process parameters accurately. Identification algorithms are formulated to estimate minimal number of model parame...