Algorithms and software for PI/PID controller tuning based on transient characteristics of control systems

Rotach, V. Ya.; Kuzishchin, V. F.; Petrov, S. V.

doi:10.1134/s0005117912110148

Cited by 5 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This leads to a decrease in the energy efficiency of the rolling stand's electric drive. A given problem can be solved by adapting the parameters of the employed linear controllers under a real-time mode [5][6][7][8].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Development of the method for joint operation of neural-network tuners for current and speed

Eremenko

Glushchenko

Petrov

2017

EEJET

View full text Add to dashboard Cite

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Similar idea has been further developed in other studies. Specifically, in paper [6], authors apply a stepwise test signal for the identification; in article [7] -a signal based on one harmonic, and in [8] -based on two harmonics. The problem is the fact that…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of the method for joint operation of neural-network tuners for current and speed

Eremenko

Glushchenko

Petrov

2017

EEJET

View full text Add to dashboard Cite

“…An obtaining of Control Plant's Mathematical model is necessary for its properties analysis. Also, this model is necessary for the tuning of plant's regulator, for quality arising [1,2,3]. Methods for control objects' mathematical models obtaining can be divided into two groups [4]: 1. analytical methods, based on the of physical, mechanical, chemical laws etc.…”

Section: Introductionmentioning

confidence: 99%

Mobile Devices for Plants Models Obtaining with the Possibility of Data Transition (by Ethernet)

Ilyin

Kudryavtsev

Onufriev

2015

AMM

View full text Add to dashboard Cite

The authors show an identification device, which was developed at Tomsk polytechnic university. First, the main idea of the identification device is given and then they show its structural representation. Furthermore, three versions of complements are considered in the article. These three versions are compared with each other. In the conclusion authors tell about their further plans connected with the identification device.

show abstract

“…Ma and Li (2011) studied an open-closed-loop PID type iterative learning control strategy for linear timeinvariant systems with initial state errors and illustrated that the proposed scheme is robust in case initial state errors are bounded. Rotach et al (2012) tuned PI/PID controllers based on transient characteristics of control systems through the tuning procedure which does not require approximation. Iwan Solihin et al (2010) proposed a PID controller tuned by a fuzzy system to achieve a robust controller for an anti-swing gantry crane.…”

Section: Introductionmentioning

confidence: 99%

Adaptive robust PID control subject to supervisory decoupled sliding mode control based upon genetic algorithm optimization

Mahmoodabadi

Taherkhorsandi

Talebipour

et al. 2014

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

While proportional-integral-derivative (PID) control is the most applicable controller in industry, it does not provide important qualities, such as stability in case of uncertainties, being robust to disturbances, and optimal control inputs. To address the issue, this paper presents adaptive robust PID control subject to supervisory decoupled sliding mode control for an inverted pendulum system optimized by using a genetic algorithm optimization. Decoupled sliding mode control is a variable structure control method having appropriate features, such as good tracking performance and robustness with regard to disturbances. To this end, decoupled sliding mode control as a supervisory controller is utilized in accordance with PID control to deliver necessary control inputs and enhance the performance of the controller. Effectual methods such as the transfer function which resulted in having minimum chattering in the controller is employed in this paper. An adaptation mechanism is used to update the proportional, derivative, and integral gains of PID control. Then, the parameters of the controller are ascertained by using a genetic algorithm. The results and analysis prove the proper performance of the controller via providing an optimal smooth control input, proper tracking performance, and the elimination of the chattering problem.

show abstract

Algorithms and software for PI/PID controller tuning based on transient characteristics of control systems

Cited by 5 publications

References 2 publications

Development of the method for joint operation of neural-network tuners for current and speed

Development of the method for joint operation of neural-network tuners for current and speed

Mobile Devices for Plants Models Obtaining with the Possibility of Data Transition (by Ethernet)

Adaptive robust PID control subject to supervisory decoupled sliding mode control based upon genetic algorithm optimization

Contact Info

Product

Resources

About