Transient response comparison of feedback and feed‐forward compensation methods in systems with zero steady state error

Matı́a, Fernando

doi:10.1002/asjc.2144

Cited by 5 publications

(2 citation statements)

References 24 publications

(21 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A proportional controller is the simplest form of a control system, which only uses the proportional term to adjust the output based on the error signal. The PI controller adds an integral term to compensate for any steady-state error in the system [6].…”

Section: Integral Controllermentioning

confidence: 99%

Data Acquisition System with Different Control Application Strategies Using LabVIEW

et al. 2023

View full text Add to dashboard Cite

For real- time data acquisition LabVIEW is suitable as it is easy to learn and use to design prototype model and deployment along with the ability to solve complex algorithm in real time.This paper focuses on the basic concept for the development environment of LabVIEW and examples of different control actions with simulation results. Simple creation of computer communication is controlled by LabVIEW application. Simulation study is done for different control action and the effect can be shown in LabVIEW graphical environment. The software is very user- friendly due to its graphical icon source code. Thefront panel of LabVIEW helps with various measurement results as it uses GUI and the desired type set point can be controlled by selecting or setting the set point.

show abstract

Section: Integral Controllermentioning

confidence: 99%

Data Acquisition System with Different Control Application Strategies Using LabVIEW

et al. 2023

View full text Add to dashboard Cite

show abstract

“…e proportional gain regulates the rate of temperature increase after the first transients, while K P and K I are the PI controller gains, respectively. By placing a pole at the source and boosting the system type by one, the steady-state inaccuracy is reduced at the integral controller gain [15]. e cumulative impact of the PI monitor improvements definitely shapes the thermal controller's response, resulting in less overshoot and a shorter settling time.…”

Section: Problem Statementmentioning

confidence: 99%

Stability Results of Thermal Control System with Time-Dependent Delays and Perturbations of Nonlinearity

Gemechu

Prabakaran²,

Lalithamani³

et al. 2022

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

The stability of a controlled network temperature control system (heat exchanger system) is examined in this study paper. A heat exchanger system keeps the end temperature of a liquid within defined parameters. The study proposes a linearized model of a temperature control system based on a delay-dependent state equation to accomplish this job. For a temperature management system in a network having time-varying delays, the LK functional (Lyapunov–Krasovskii) method is coupled with the reciprocal convex lemma. To get less conservative stability requirements, a new LK functional was assumed in the stability analysis, and the time-dependent of the (LK) functional was taken via the reciprocal convex combination approach. Finally, under the LMI (linear matrix inequalities) paradigm, the suggested stability analysis leads to a stability criterion. The suggested results establish a new stability criterion for a more accurate operating form for a present temperature control system based on a theoretically obtained temperature management system.

show abstract

New anti‐windup Proportional‐Integral‐Derivative for motor speed control

Yapp,

Hoo,

Lai

2024

Asian Journal of Control

View full text Add to dashboard Cite

The proportional‐integral‐derivative (PID) was developed and recognized for its reliability. A PID controller is not only simple but also relatively cheap. However, the controller causes system performance degeneration over time due to the presence of windup in a motor speed control system. The windup phenomenon is caused by the saturated control state. Various anti‐windup methods were introduced to decrease a system's long settling time and extreme overshooting. Most anti‐windup techniques require integral switching between saturated and unsaturated states, whereby both versions of steady‐state integral proportional‐integral controller do not need integral switching mechanism. They possess a certain degree of decoupling between and tuning parameters and tested to allow a more comprehensive range of tuning in the absence of derivative control. This research investigated the impact of derivative control component on the tuning gain decoupling through hardware simulation. By integrating the derivative component, , the control system demonstrated an improved system stability and reduced overshoot. Result shows that the decoupling feature allows SIPIC01+D and SIPIC02+D controllers to produce performance with zero overshoot and short settling time. However, SIPIC01+D has better dynamical performance with fastest rise and settling time with no overshoot as compared to other anti‐windup controllers.

show abstract

Transient response comparison of feedback and feed‐forward compensation methods in systems with zero steady state error

Cited by 5 publications

References 24 publications

Data Acquisition System with Different Control Application Strategies Using LabVIEW

Data Acquisition System with Different Control Application Strategies Using LabVIEW

Stability Results of Thermal Control System with Time-Dependent Delays and Perturbations of Nonlinearity

New anti‐windup Proportional‐Integral‐Derivative for motor speed control

Contact Info

Product

Resources

About