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Self-Tuning Of Pid Controller For Dc Motor Using Mrac, R.S Naga Kumar Ganugula

R.S Naga Kumar Ganugula

The main objective of this paper is to control the speed

of a separately excited DC motor using a self tuning PID

controller based on Model Reference Adaptive control (MRAC)

approach. This auto tuning controller aims to Tune the

parameters of the PID controller in response to changes in plant

and disturbance real time by referring to the reference model

that specifies the properties of the desired control system.

The simulation results show the effectiveness of the self

tuning controller both in transient and steady state responses

when compared to the fixed parameter PID controller.

Auto - Tuning Of Pid Controller For Dc Motor Using Mrac Technique, R.S Naga Kumar Ganugula

R.S Naga Kumar Ganugula

The main objective of this paper is to control the speed of a separately excited DC motor using a self tuning PI controller

based on Model Reference Adaptive control (MRAC) approach. This auto tuning controller aims to Tune the parameters of the PID

controller in response to changes in plant and disturbance real time by referring to the reference model that specifies the properties of

the desired control system.

The simulation results show the effectiveness of the self tuning controller both in transient and steady state responses when compared to

the fixed parameter PI controller.

Simulation Of Ihrrfpid Controller For Dc-Dc Converter, R.S Naga Kumar Ganugula

R.S Naga Kumar Ganugula

In this paper, an Intelligent Hybrid Reduced Rule Base Fuzzy PID controller (IHRRFPID) is developed for the DC-DC converter. This Hybrid controller is a combination of both PID and Fuzzy logic controller in an intelligent way that depends on a function of actuating error such as ITAE (Integral Time Absolute Error). Moreover, an intelligent switching scheme is induced on the blending mechanism that makes a decision up on the priority of the two controllers, namely the classical PID and the fuzzy constituents. The simulation results shows that the hybrid fuzzy PID controller provides better response in terms of transient and …