scholarly journals A New PID Tuning Method Based on Transient Response Control

2014 ◽  
Vol 2 (3) ◽  
Author(s):  
S. E Hamamci
Keyword(s):  
Transient Response ◽  
Response Control ◽  
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

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.

Transient Response Control of Two-Mass System via Polynomial Approach

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Yue Qiao ◽  
Junyi Cao ◽  
Chengbin Ma
Keyword(s):  
Time Constant ◽  
Transient Response ◽  
Controller Design ◽  
Polynomial Method ◽  
Transient Responses ◽  
Mass System ◽  
Response Control ◽  
Characteristic Ratio ◽  
Starting Point ◽  
Generalized Time

This paper discusses the application of polynomial method in the transient response control of a benchmark two-mass system. It is shown that transient responses can be directly addressed by specifying the so-called characteristic ratios and the generalized time constant. The nominal characteristic ratio assignment (CRA) is a good starting point for controller design. And the characteristic ratios with lower indices have a more dominant influence. Two practical low-order control configurations, the integral-proportional (IP) and modified-integral-proportional-derivative (m-IPD) controllers are designed. The primary design strategy of the controllers is to guarantee the lower-index characteristic ratios to be equal to their nominal values, while the higher-index characteristic ratios are determined by the interaction with the generalized time constant and the limits imposed by zeros, a specific control configuration, etc. The demonstrated relationship between the transient responses and the assignments of characteristic ratios and generalized time constant in simulation and experiments explains the effectiveness of the polynomial-method-based controller design.

A practical iterative PID tuning method for mechanical systems using parameter chart

2017 ◽  
Vol 48 (13) ◽  
pp. 2887-2900 ◽  
Author(s):  
M. Kang ◽  
J. Cheong ◽  
H.M. Do ◽  
Y. Son ◽  
S.-I. Niculescu
Keyword(s):  
Mechanical Systems ◽  
Tuning Method ◽  
Pid Tuning
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