A PID tuning method based on matching between one-shot experimental data and filtered desired closed-loop responses

2012 ◽  
Author(s):  
Naoki Ikegami ◽  
Shigeru Yamamoto ◽  
Osamu Kaneko
Keyword(s):  
Experimental Data ◽  
Closed Loop ◽  
Tuning Method ◽  
Pid Tuning

scholarly journals PID Tuning Method for Integrating Processes Having Time Delay and Inverse Response

2018 ◽  
Vol 51 (4) ◽  
pp. 274-279 ◽  
Author(s):  
M.M. Ozyetkin ◽  
C. Onat ◽  
N. Tan
Keyword(s):  
Time Delay ◽  
Tuning Method ◽  
Pid Tuning ◽  
Inverse Response

Simple PID parameter tuning method based on outputs of the closed loop system

2016 ◽  
Vol 29 (3) ◽  
pp. 465-474 ◽  
Author(s):  
Jianda Han ◽  
Zhiqiang Zhu ◽  
Ziya Jiang ◽  
Yuqing He
Keyword(s):  
Closed Loop ◽  
Parameter Tuning ◽  
Loop System ◽  
Closed Loop System ◽  
Tuning Method

scholarly journals An optimal pid tuning method for a single-link manipulator based on the control parametrization technique

2020 ◽  
Vol 13 (6) ◽  
pp. 1813-1823 ◽  
Author(s):  
Bin Li ◽  
◽  
Xiaolong Guo ◽  
Xiaodong Zeng ◽  
Songyi Dian ◽  
...  
Keyword(s):  
Control Parametrization ◽  
Tuning Method ◽  
Pid Tuning ◽  
Single Link ◽  
Control Parametrization Technique

scholarly journals Multiobjective PID controller design for active suspension system: scalarization approach

2018 ◽  
Vol 8 (2) ◽  
pp. 183-194
Author(s):  
O. Tolga Altinoz
Keyword(s):  
Controller Design ◽  
Optimization Algorithms ◽  
Active Suspension ◽  
Suspension System ◽  
Peak Time ◽  
Tuning Method ◽  
Pid Tuning ◽  
Multiobjective Problem ◽  
The Time Domain ◽  
Single Objective

In this study, the PID tuning method (controller design scheme) is proposed for a linear quarter model of active suspension system installed on the vehicles. The PID tuning scheme is considered as a multiobjective problem which is solved by converting this multiobjective problem into single objective problem with the aid of scalarization approaches. In the study, three different scalarization approaches are used and compared to each other. These approaches are called linear scalarization (weighted sum), epsilon-constraint and Benson’s methods. The objectives of multiobjective optimization are selected from the time-domain properties of the transient response of the system which are overshoot, rise time, peak time and error (in total there are four objectives). The aim of each objective is to minimize the corresponding property of the time response of the system. First, these four objective is applied to the scalarization functions and then single objective problem is obtained. Finally, these single objective problems are solved with the aid of heuristic optimization algorithms. For this purpose, four optimization algorithms are selected, which are called Particle Swarm Optimization, Differential Evolution, Firefly, and Cultural Algorithms. In total,twelve implementations are evaluated with the same number of iterations. In this study, the aim is to compare the scalarization approaches and optimization algorithm on active suspension control problem. The performance of the corresponding cases (implementations) are numerically and graphically demonstrated on transient responses of the system.

An Improved PID Tuning Method by Applying Single-Valued Neutrosophic Cosine, Tangent, and Exponential Measures and a Simulated Annealing Algorithm

2020 ◽  
pp. 43-58
Author(s):  
Sheng-Yi Ruan ◽  
Jun Ye ◽  
Wen-Hua Cui
Keyword(s):  
Simulated Annealing ◽  
Pid Controller ◽  
Simulated Annealing Algorithm ◽  
Step Response ◽  
Peak Time ◽  
Neutrosophic Sets ◽  
Tuning Method ◽  
Pid Tuning ◽  
Annealing Algorithm ◽  
Comparative Results

This chapter introduces an improved proportional-integral-derivative (PID) adjusting method by applying a simulated annealing algorithm (SAA) and the cosine, tangent, exponential measures of single-valued neutrosophic sets (SvNSs). For the approach, characteristic values of the unit step response (rise time, peak time, settling time, undershoot ratio, overshoot ratio, and steady-state error) in the control system should be neutrosophicated by the neutrosophic membership functions. Next, one of cosine, tangent, and exponential measures is used to obtain the similarity measure of the ideal SvNS and the response SvNS to assess the control performance of the PID controller by the optimization values of the PID parameters Kp, Ki, and Kd searched by SAA. The results of the illustrative example obtained by these measures and SAA are better than the existing ones and indicate better PID controller performance. Comparative results can demonstrate the rationality and superiority of the improved PID adjusting method.

Modeling and Closed-Loop Control of Stretch Bending of Aluminum Rectangular Tubes

2003 ◽  
Vol 125 (1) ◽  
pp. 113-119 ◽  
Author(s):  
Hong Zhu ◽  
Kim A. Stelson
Keyword(s):  
Experimental Data ◽  
Real Time ◽  
Control Algorithm ◽  
Closed Loop ◽  
Strain History ◽  
Closed Loop Control ◽  
Loop Control ◽  
Stretch Bending ◽  
Rectangular Tube ◽  
Rectangular Tubes

During stretch bending, considerable springback will occur after a tube has been plastically bent. To predict the springback, a simplified two-flange model for stretch bending of a rectangular tube has been developed in which the strain history has been considered. A comparison has been made between the springback predicted by this model and experimental data, which shows rough agreement. Based on this model, a real time closed-loop control algorithm is developed.

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 The complex controller for three-phase induction motor direct torque control

2009 ◽  
Vol 20 (2) ◽  
pp. 256-262 ◽  
Author(s):  
Alfeu J. Sguarezi Filho ◽  
E. Ruppert Filho
Keyword(s):  
Induction Motor ◽  
Closed Loop ◽  
Direct Torque Control ◽  
Torque Control ◽  
Closed Loop System ◽  
Low Speed ◽  
Tuning Method ◽  
Three Phase ◽  
Model Complex ◽  
System Frequency

This paper proposes a design and tuning method for a complex gain controller, based on the three-phase induction motor mathematical model complex transfer function to be used in the direct torque control at low speed which is a problem so far. The design and tuning of the complex gain is done by using the closed loop system frequency-response function. Experimental results are presented to validate the controller and operation at low speed is also explored.

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