Abstract
Various systems and instrumentation use auto tuning techniques in their operations. For example, audio processors, designed to control pitch in vocal and instrumental operations. The main aim of auto tuning is to conceal off-key errors, and allowing artists to perform genuinely despite slight deviation off-key. In this paper two Auto tuning control strategies are proposed. These are Proportional, Integral and Derivative (PID) control and Model Predictive Control (MPC). The PID and MPC controller’s algorithms amalgamate the auto tuning method. These control strategies ascertains stability, effective and efficient performance on a nonlinear system. The paper test and compare the efficacy of each control strategy. This paper generously provides systematic tuning techniques for the PID controller than the MPC controller. Therefore in essence the PID has to give effective and efficient performance compared to the MPC. The PID depends mainly on three terms, the P ( ) gain, I ( ) gain and lastly D ( ) gain for control each playing unique role while the MPC has more information used to predict and control a system.
Highlights
There are two control strategies proposed in this paper
This paper generously provides systematic tuning techniques for the PID controller than the Model Predictive Control (MPC) controller
Predictive control has received a wide acceptance in different industries, as a results researchers such as Cutler, Ydstie, Clarke and so on developed sophisticated yet simple predictive control algorithms such as Generalized Predictive Control (GPC), Predictive Functional Control (PFC), Dynamic Model Control (DMC), Internal Model Control (IMC) etc [10]
Summary
There are two control strategies proposed in this paper These are Auto tuning PID and auto tuning MPC controllers. The auto tuning methodologies were respectfully incorporated on PID and MPC controllers. These control strategies ascertains stability, effective and efficient performance on a nonlinear system. This paper generously provides systematic tuning techniques for the PID controller than the MPC controller. This paper presents auto tuning algorithm for MPC and many systematic tuning techniques for auto tuning PID controller. These are systematic tuning techniques for the undisputed PID controller. These techniques auto tune the PID controller based on the first order plus time – delay (FOPTD) of the system. All three parameters of the PID tune simultaneously, together with their time constants during simulations
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