Design of PID Controllers for Improved Performance of Higher Order Systems

2010 ◽  
Author(s):  
L.M. Waghmare ◽  
G.M. Malwatkar
Keyword(s):  
Higher Order ◽  
Pid Controllers ◽  
Improved Performance

Tuning PID controllers for higher-order oscillatory systems with improved performance

2009 ◽  
Vol 48 (3) ◽  
pp. 347-353 ◽  
Author(s):  
G.M. Malwatkar ◽  
S.H. Sonawane ◽  
L.M. Waghmare
Keyword(s):  
Higher Order ◽  
Pid Controllers ◽  
Oscillatory Systems ◽  
Improved Performance

scholarly journals High-Order Filtered PID Controller Tuning Based on Magnitude Optimum

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1340
Author(s):  
Damir Vrančić ◽  
Mikuláš Huba
Keyword(s):  
A Priori ◽  
Higher Order ◽  
Process Models ◽  
Pid Controllers ◽  
Tuning Method ◽  
Output Noise ◽  
Pid Controller Tuning ◽  
Output Time ◽  
Tuning Methods ◽  
Measured Input

The paper presents a tuning method for PID controllers with higher-order derivatives and higher-order controller filters (HO-PID), where the controller and filter orders can be arbitrarily chosen by the user. The controller and filter parameters are tuned according to the magnitude optimum criteria and the specified noise gain of the controller. The advantages of the proposed approach are twofold. First, all parameters can be obtained from the process transfer function or from the measured input and output time responses of the process as the steady-state changes. Second, the a priori defined controller noise gain limits the amount of HO-PID output noise. Therefore, the method can be successfully applied in practice. The work shows that the HO-PID controllers can significantly improve the control performance of various process models compared to the standard PID controllers. Of course, the increased efficiency is limited by the selected noise gain. The proposed tuning method is illustrated on several process models and compared with two other tuning methods for higher-order controllers.

Generalized Frequency Domain Robust Tuning of a Family of Fractional Order PI/PID Controllers to Handle Higher Order Process Dynamics

2011 ◽  
Vol 403-408 ◽  
pp. 4859-4866 ◽  
Author(s):  
Saptarshi Das ◽  
Amitava Gupta ◽  
Shantanu Das
Keyword(s):  
Frequency Domain ◽  
Fractional Order ◽  
Test Bench ◽  
Standard Test ◽  
Higher Order ◽  
Pid Controllers ◽  
Order Process ◽  
Controller Tuning ◽  
Process Dynamics ◽  
The Family

Generalization of the frequency domain robust tuning has been proposed in this paper for a family of fractional order (FO) PI/PID controllers. The controller tuning is enhanced with two new FO reduced parameter templates which are capable of capturing higher order process dynamics with much better accuracy. The paper validates the proposed methodology with a standard test-bench of higher order processes to show the relative merits of the family of FO controller structures.

Membrane occluded catalysts: a higher order mimic with improved performance

1996 ◽  
Vol 113 (1-2) ◽  
pp. 283-292 ◽  
Author(s):  
Rudy F. Parton ◽  
Ivo F.J. Vankelecom ◽  
Diedrik Tas ◽  
Kristien B.M. Janssen ◽  
Peter-Paul Knops-Gerrits ◽  
...  
Keyword(s):  
Higher Order ◽  
Improved Performance

Higher Order Sliding Mode Control for Blood Glucose Regulation of Type 1 Diabetic Patients

Biotechnology ◽  
2019 ◽  
pp. 1126-1148
Author(s):  
Mounir Djouima ◽  
Ahmad Taher Azar ◽  
Saïd Drid ◽  
Driss Mehdi
Keyword(s):  
Blood Glucose ◽  
Sliding Mode Control ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Sliding Mode ◽  
Higher Order ◽  
Mode Control ◽  
Normal Glucose ◽  
Improved Performance

Type 1 diabetes mellitus (T1DM) treatment depends on the delivery of exogenous insulin to obtain near normal glucose levels. This article proposes a method for blood glucose level regulation in type 1 diabetics. The control strategy is based on comparing the first order sliding mode control (FOSMC) with a higher order SMC based on the super twisting control algorithm. The higher order sliding mode is used to overcome chattering, which can induce some undesirable and harmful phenomena for human health. In order to test the controller in silico experiments, Bergman's minimal model is used for studying the dynamic behavior of the glucose and insulin inside human body. Simulation results are presented to validate the effectiveness and the good performance of this control technique. The obtained results clearly reveal improved performance of the proposed higher order SMC in regulating the blood glucose level within the normal glycemic range in terms of accuracy and robustness.

Continuous higher order sliding mode observers for a class of uncertain nonlinear systems

2018 ◽  
Vol 41 (3) ◽  
pp. 717-728 ◽  
Author(s):  
Panitnart Chawengkrittayanont ◽  
Chutiphon Pukdeboon
Keyword(s):  
Nonlinear Systems ◽  
Sliding Mode ◽  
Lyapunov Stability Theory ◽  
Higher Order ◽  
Uncertain Nonlinear Systems ◽  
Terminal Sliding Mode ◽  
Detailed Model ◽  
State Observers ◽  
Chattering Free ◽  
Improved Performance

Two nonlinear state observers are proposed to reconstruct the system states for a class of uncertain nonlinear systems. Both state observers are designed based on continuous higher order sliding mode and terminal sliding mode concepts. The proposed observers are chattering-free and constructed without any detailed model knowledge of the system. Desirable features of the proposed observers include that they are immune to noise and can be designed separately from a controller. Lyapunov stability theory is employed to prove the finite-time convergent and uniformly ultimately bounded observation. Simulation results are provided to demonstrate the effectiveness and improved performance of the developed observers.

scholarly journals Set Point Weighted Modified Smith Predictor for Higher Order Integrating Processes with Time Delay

2019 ◽  
Vol 8 (4) ◽  
pp. 11237-11239 ◽  
Keyword(s):  
Time Delay ◽  
Direct Synthesis ◽  
Synthesis Method ◽  
Higher Order ◽  
Smith Predictor ◽  
Control Synthesis ◽  
Pid Controllers ◽  
Set Point ◽  
Point Tracking ◽  
Modified Smith Predictor

This Paper Presents About The Synthesis Of Two-Degree-Of-Freedom Control Structure Based On Modified Smith Predictor Control For Higher Order Integrating Processes With Time Delay. This Control Synthesis Is Done Based On Chengqiang Yin Method. It Has Two Pid Controllers- One Is Set Point Tracking Controller Based On Direct Synthesis Method And The Other Is Disturbance Rejection Controller Based On Imc Principle. In This Work, A Set Point Weight Is Added With Pid Controller To Reduce Peak Overshoots And Settling Time In The Modified Smith Predictor. Two Simulation Examples Are Given To Demonstrate The Validity Of This Method.

Invariant Object Recognition Using Higher-Order Neural Networks, Line-Segment Spectra and Multi-Resolution Training

1997 ◽  
Vol 08 (03) ◽  
pp. 251-262
Author(s):  
Marijke F. Augusteijn ◽  
Michael C. Winterbottom
Keyword(s):  
Line Segment ◽  
Network Architecture ◽  
Network Size ◽  
Higher Order ◽  
Second Order ◽  
Image Size ◽  
Training Time ◽  
Training Approach ◽  
Invariant Object Recognition ◽  
Improved Performance

A second-order neural network architecture is introduced that achieves invariant recognition with respect to an object's position and orientation in an image. This network does not show the combinatorial growth in network size as image size is increased, which is commonly observed in higher-order architectures. A new concept called an object's line-segment spectrum is introduced. It is argued that the weights of the second-order architecture are determined by these line-segments. Training time then becomes a function of object size rather than image size. The network is tested on the 26 capital letters of the alphabet. It is shown that in this application a multi-resolution training approach leads to reduced training time and improved performance.

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