scholarly journals Position Control of Pneumatic Actuator Using Self-Regulation Nonlinear PID

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Syed Najib Syed Salim ◽  
Mohd Fua’ad Rahmat ◽  
Ahmad ’Athif Mohd Faudzi ◽  
Zool H. Ismail ◽  
Noorhazirah Sunar
Keyword(s):  
Pid Controller ◽  
Position Control ◽  
Self Regulation ◽  
Nonlinear Function ◽  
Experimental Tests ◽  
Pneumatic Actuator ◽  
Rate Variation ◽  
Positioning System ◽  
Error Signal ◽  
Nonlinear Gain

The enhancement of nonlinear PID (N-PID) controller for a pneumatic positioning system is proposed to improve the performance of this controller. This is executed by utilizing the characteristic of rate variation of the nonlinear gain that is readily available in N-PID controller. The proposed equation, namely, self-regulation nonlinear function (SNF), is used to reprocess the error signal with the purpose of generating the value of the rate variation, continuously. With the addition of this function, a new self-regulation nonlinear PID (SN-PID) controller is proposed. The proposed controller is then implemented to a variably loaded pneumatic actuator. Simulation and experimental tests are conducted with different inputs, namely, step, multistep, and random waveforms, to evaluate the performance of the proposed technique. The results obtained have been proven as a novel initiative at examining and identifying the characteristic based on a new proposal controller resulting from N-PID controller. The transient response is improved by a factor of 2.2 times greater than previous N-PID technique. Moreover, the performance of pneumatic positioning system is remarkably good under various loads.

scholarly journals Enhanced self-regulation nonlinear PID for industrial pneumatic actuator

2019 ◽  
Vol 9 (4) ◽  
pp. 3015
Author(s):  
S. N S. Salim ◽  
M. F. Rahmat ◽  
L. Abdullah ◽  
S. A. Shamsudin ◽  
M. Zainon ◽  
...  
Keyword(s):  
Steady State ◽  
System Performance ◽  
Pid Controller ◽  
Dead Zone ◽  
Self Regulation ◽  
Nonlinear Function ◽  
Positioning System ◽  
Proportional Valve ◽  
Signal Error ◽  
Steady State Performance

<p class="3Abstract">The present article describes the improvement of Self-regulation Nonlinear PID (SN-PID) controller. A new function is introduced to improve the system performance in terms of transient without affecting the steady state performance. It is used to optimize the nonlinear function available on this controller.  The signal error is reprocessed through this function, and the result is used to tune the nonlinear function of the controller. Furthermore, the presence of the dead zone on the proportional valve is solved using Dead Zone Compensator (DZC). Simulations and experiments were carried out on the pneumatic positioning system. Comparisons between the existing methods were examined and successfully demonstrated.</p>

Pneumatic Proportional Position Control System Based on BP Neural Networks

2004 ◽  
Vol 471-472 ◽  
pp. 528-531
Author(s):  
Y.J. Liu ◽  
X.Z. Kong ◽  
Z.W. Li
Keyword(s):  
Neural Networks ◽  
Working Conditions ◽  
Pid Controller ◽  
Position Control ◽  
Control Method ◽  
Back Propagation ◽  
Positioning System ◽  
Proportional Valve ◽  
Rod System ◽  
Position Control System

A PID controller based on Back-propagation neural networks is presented and used to the pneumatic proportional positioning system in this paper. A proportional valve-cylinder without rod system for buffering and positioning, which is controlled by microcomputer, is designed and completed in this paper. The experimental results show that the system gains self-adaptability because of the application of this control method. And the buffering and positioning of the cylinder can be implemented under different working conditions.

An Auto-Tuning PID Controller for Integrating Plus Dead-Time Processes

2011 ◽  
Vol 403-408 ◽  
pp. 4934-4943 ◽  
Author(s):  
C. Dey ◽  
R.K. Mudi ◽  
D. Simhachalam
Keyword(s):  
Control System ◽  
Real Time ◽  
Simulation Study ◽  
Pid Controller ◽  
Position Control ◽  
Dead Time ◽  
Nonlinear Gain ◽  
Stability Robustness ◽  
Auto Tuning ◽  
Position Control System

We propose an auto-tuning PID (APID) controller with nonlinear gain. Its proportional, integral, and derivative gains are parameterized online by a nonlinear updating factor. Both performance and stability robustness of APID are studied with reasonable perturbations in model as well as controller parameters. Effectiveness of the proposed APID is tested through simulation study as well as its real-time implementation on a practical position control system.

Study of a Precision Pneumatic Positioning Device Using PZT Dither

2011 ◽  
Vol 5 (6) ◽  
pp. 780-785 ◽  
Author(s):  
Yung-Tien Liu ◽  
◽  
Kuo-Ming Chang ◽  
Huang-Ren Lee ◽  
Keyword(s):  
High Frequency ◽  
Pid Controller ◽  
Position Control ◽  
Target Position ◽  
Positioning System ◽  
Optimal Parameters ◽  
High Frequency Response ◽  
Nonlinear Motion ◽  
Positioning Device ◽  
Motion Characteristic

A piezoelectric (PZT) actuator featuring a high frequency response is employed to serve as a highfrequency dither and to compensate for the nonlinear motion characteristic of a pneumatic positioning device. To examine the function of the PZT dither, system identification based on a linear model for describing the positioning device was performed. To obtain the most suitable actuating parameters of the PZT dither, the Taguchi method was employed. Using the optimal parameters, the positioning system implemented by the PID controller was configured. For a target position of 4 mm, position control with a positioning accuracy under 0.1 µm was demonstrated. Compared to the pneumatic positioning device using a traditional controller, the device presented in this study features better positioning ability.

scholarly journals Fractional-Order PII1/2DD1/2 Control: Theoretical Aspects and Application to a Mechatronic Axis

2021 ◽  
Vol 11 (8) ◽  
pp. 3631
Author(s):  
Luca Bruzzone ◽  
Mario Baggetta ◽  
Pietro Fanghella
Keyword(s):  
Fractional Order ◽  
Position Control ◽  
Tracking Error ◽  
Experimental Tests ◽  
Maximum Torque ◽  
Control Effort ◽  
Tuning Method ◽  
Alternative Approach ◽  
Remarkable Reduction ◽  
Distributed Order

Fractional Calculus is usually applied to control systems by means of the well-known PIlDm scheme, which adopts integral and derivative components of non-integer orders λ and µ. An alternative approach is to add equally distributed fractional-order terms to the PID scheme instead of replacing the integer-order terms (Distributed Order PID, DOPID). This work analyzes the properties of the DOPID scheme with five terms, that is the PII1/2DD1/2 (the half-integral and the half-derivative components are added to the classical PID). The frequency domain responses of the PID, PIlDm and PII1/2DD1/2 controllers are compared, then stability features of the PII1/2DD1/2 controller are discussed. A Bode plot-based tuning method for the PII1/2DD1/2 controller is proposed and then applied to the position control of a mechatronic axis. The closed-loop behaviours of PID and PII1/2DD1/2 are compared by simulation and by experimental tests. The results show that the PII1/2DD1/2 scheme with the proposed tuning criterium allows remarkable reduction in the position error with respect to the PID, with a similar control effort and maximum torque. For the considered mechatronic axis and trapezoidal speed law, the reduction in maximum tracking error is −71% and the reduction in mean tracking error is −77%, in correspondence to a limited increase in maximum torque (+5%) and in control effort (+4%).

scholarly journals Optimized PID Position Control of a Nonlinear System Based on Correlating the Velocity with Position Error

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Nenad Muškinja ◽  
Matej Rižnar
Keyword(s):  
Pid Controller ◽  
Position Control ◽  
Design Approach ◽  
Control Loop ◽  
Real Time Control ◽  
Laboratory Setup ◽  
Time Control ◽  
Beam System ◽  
Ball Velocity ◽  
Ball And Beam System

We examined a design approach for a PID controller for a nonlinear ball and beam system. Main objective of our research was to establish a nonmodel based control system, which would also not be dependent on a specific ball and beam hardware setup. The proposed PID controller setup is based on a cascaded configuration of an inner PID ball velocity control loop and an outer proportional ball position control loop. The effectiveness of the proposed controller setup was first presented in simulation environment in comparison to a hardware dependent PD cascaded controller, along with a more comprehensive study on possible design approach for optimal PID controller parameters in relation to main functionality of the controller setup. Experimental real time control results were then obtained on a laboratory setup of the ball and beam system on which PD cascaded controller could not be applied without parallel system model processing.

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