scholarly journals Remote-Tuning – Case Study of PI Controller for the First-Order-Plus-Dead-Time Systems

10.5772/19258 ◽  
2011 ◽  
Author(s):  
Dennis Brandao ◽  
Nunzio Torrisi ◽  
Renato F. Fernandes Jr
Keyword(s):  
Dead Time ◽  
Pi Controller ◽  
First Order ◽  
Time Systems

scholarly journals Analytical Tuning Method of MPC Controllers for MIMO First-Order Plus Fractional Dead Time Systems

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 212
Author(s):  
Ning He ◽  
Yichun Jiang ◽  
Lile He
Keyword(s):  
Predictive Control ◽  
Closed Loop ◽  
Dead Time ◽  
Pole Placement ◽  
Closed Loop System ◽  
Placement Problem ◽  
First Order ◽  
Tuning Method ◽  
Domain Performance ◽  
Time Systems

An analytical model predictive control (MPC) tuning method for multivariable first-order plus fractional dead time systems is presented in this paper. First, the decoupling condition of the closed-loop system is derived, based on which the considered multivariable MPC tuning problem is simplified to a pole placement problem. Given such a simplification, an analytical tuning method guaranteeing the closed-loop stability as well as pre-specified time-domain performance is developed. Finally, simulation examples are provided to show the effectiveness of the proposed method.

scholarly journals An Optimal Robust Tuning Method for First Order plus Dead Time Systems with Parameter Uncertainty

2015 ◽  
Vol 48 (14) ◽  
pp. 126-131 ◽  
Author(s):  
Ugur Yildirim ◽  
Alhan Mutlu ◽  
Mehmet T. Söylemez
Keyword(s):  
Parameter Uncertainty ◽  
Dead Time ◽  
First Order ◽  
Tuning Method ◽  
Time Systems

Robust Predictive PI Controller Based on First-Order Dead Time Model

2008 ◽  
Vol 41 (2) ◽  
pp. 5808-5813 ◽  
Author(s):  
F. Arousi ◽  
U. Schmitz ◽  
R. Bars ◽  
R. Haber
Keyword(s):  
Dead Time ◽  
Pi Controller ◽  
Time Model ◽  
First Order

Auto-Tuning of Optimal PI Controller Satisfying Sensitivity Value Constrains

2011 ◽  
Vol 204-210 ◽  
pp. 1938-1943 ◽  
Author(s):  
Yong Hui Chen ◽  
Xiao Hui Zeng ◽  
Gong Quan Tan
Keyword(s):  
Numerical Optimization ◽  
Dead Time ◽  
Absolute Error ◽  
Pi Controller ◽  
Optimal Parameters ◽  
First Order ◽  
Sensitivity Functions ◽  
Pi Controllers ◽  
Large Scope ◽  
Auto Tuning

For a first-order lag process with dead-time models (FOPDT) under step load disturbances, optimal parameters of proportional and integral (PI) controller are obtained through numerical optimization based on minimizing the integrated time and absolute error (ITAE), or maximizing the integral gain. The optimizations are under constrains of sensitivity functions. Then, the tuning formulas for PI controllers are adjusted according to parameters from numerical fittings of optimized values within a large scope of the ratio of the inertia time to the dead-time of processes. Finally, the process information is acquired from closed-loop tests of a two-channel relay and the process is approximately modeled with a FOPDT model in order to achieve parameter auto-tuning of controllers. The approach proposed is proved to be effective according to simulation results.

Limitations of a PI controller for a first-order nonlinear process with dead time

2006 ◽  
Vol 45 (2) ◽  
pp. 185-199 ◽  
Author(s):  
R. Anandanatarajan ◽  
M. Chidambaram ◽  
T. Jayasingh
Keyword(s):  
Dead Time ◽  
Nonlinear Process ◽  
Pi Controller ◽  
First Order

Robust Automatic Tuning of an Industrial PI Controller for Dead-Time Systems

2000 ◽  
Vol 33 (4) ◽  
pp. 141-146 ◽  
Author(s):  
Ari Ingimundarson ◽  
Tore Hägglund
Keyword(s):  
Dead Time ◽  
Pi Controller ◽  
Automatic Tuning ◽  
Time Systems

scholarly journals A New PID Controller Design with Constraints on Relative Delay Margin for First-Order Plus Dead-Time Systems

Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 713 ◽  
Author(s):  
Wu ◽  
Li ◽  
Xue
Keyword(s):  
Disturbance Rejection ◽  
Dead Time ◽  
Sensitivity Function ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral ◽  
First Order ◽  
Relative Delay ◽  
Time Systems ◽  
Delay Margin

The maximum sensitivity function as the conventional robustness index is often used to test the robustness and cannot be used to tune the controller parameters directly. To reduce analytical difficulties in dealing with the maximum sensitivity function and improve the control performance of the proportional-integral-derivative controller, the relative delay margin as a good alternative is proposed to offer a simple robust analysis for the proportional-integral-derivative controller and the first-order plus dead-time systems. The relationship between the parameters of the proportional-integral-derivative controller and the new pair, e.g., the phase margin and the corresponding gain crossover frequency, is derived. Based on this work, the stability regions of the proportional-integral-derivative controller parameters, the proportional gain and the integral gain with a given derivative gain, are obtained in a simple way. The tuning of the proportional-integral-derivative controller with constraints on the relative delay margin is simplified into an optimal disturbance rejection problem and the tuning procedure is summarized. For convenience, the recommended parameters are also offered. Simulation results demonstrate that the proposed methodology has better tracking and disturbance rejection performance than other comparative design methodologies of the proportional-integral/proportional-integral-derivative controller. For example, the integrated absolute errors of the proposed proportional-integral-derivative controller for the tracking performance and disturbance rejection performance are less than 91.3% and 91.7% of the integrated absolute errors of other comparative controllers in Example 3, respectively. The proposed methodology shows great potential in industrial applications. Besides, the proposed method can be applied to the design of the proportional-integral-derivative controller with filtered derivative which is recommended for practical applications to weaken the adverse influence of the high-frequency measurement noise.

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