Pid Auto Tuning Methods

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Point for improving the performance of PID controllers. It offers an introduction to both the art and the science behind process control and PID controller tuning. Included are basic terminology, steps for analyzing process dynamics, methods for determining model parameters, and other valuable insights. With these fundamentals we. Theoretically, the most basic PID auto-tuners simply automate the manual PID tuning procedures: force a change in the controller effort (bump or step tests), observe the results, and adjust the tuning parameters. Abstract-A method for automatic tuning of the PID process control parameters, usually called 'auto-tuning', is developed. The procedure of applying the method consists of (1) sampling a process response to a test input signal, (2) processing the sampled data for estimating characteristic values of the process, and (3) calculating the optimal values of the PID control parameters. Oct 26, 2007  How to tune a PID controller using Ziegler-Nichols, Tyreus-Luyben, and Cohen-Coon tuning methods. Oct 01, 2006 Auto-Tuning Control Using Ziegler-Nichols John “Zeke” Ziegler and Nathaniel Nichols may not have invented the proportional-integral-derivative (PID) controller, but their famous loop tuning techniques helped make the PID algorithm the most popular of all feedback control strategies used in industrial applications.

The Ziegler–Nichols tuning method is a heuristic method of tuning a PID controller. It was developed by John G. Ziegler and Nathaniel B. Nichols. It is performed by setting the I (integral) and D (derivative) gains to zero. The 'P' (proportional) gain, Kp{displaystyle K_{p}} is then increased (from zero) until it reaches the ultimate gainKu{displaystyle K_{u}}, which is the largest gain at which the output of the control loop has stable and consistent oscillations; higher gains than the ultimate gain Ku{displaystyle K_{u}} have diverging oscillation. Ku{displaystyle K_{u}} and the oscillation period Tu{displaystyle T_{u}} are then used to set the P, I, and D gains depending on the type of controller used and behaviour desired:

Ziegler–Nichols method[1]
Control TypeKp{displaystyle K_{p}}Ti{displaystyle T_{i}}Td{displaystyle T_{d}}Ki{displaystyle K_{i}}Kd{displaystyle K_{d}}
P0.5Ku{displaystyle 0.5K_{u}}
PI0.45Ku{displaystyle 0.45K_{u}}Tu/1.2{displaystyle T_{u}/1.2}0.54Ku/Tu{displaystyle 0.54K_{u}/T_{u}}
PD0.8Ku{displaystyle 0.8K_{u}}Tu/8{displaystyle T_{u}/8}KuTu/10{displaystyle K_{u}T_{u}/10}
classic PID[2]0.6Ku{displaystyle 0.6K_{u}}Tu/2{displaystyle T_{u}/2}Tu/8{displaystyle T_{u}/8}1.2Ku/Tu{displaystyle 1.2K_{u}/T_{u}}3KuTu/40{displaystyle 3K_{u}T_{u}/40}
Pessen Integral Rule[2]7Ku/10{displaystyle 7K_{u}/10}2Tu/5{displaystyle 2T_{u}/5}3Tu/20{displaystyle 3T_{u}/20}1.75Ku/Tu{displaystyle 1.75K_{u}/T_{u}}21KuTu/200{displaystyle 21K_{u}T_{u}/200}
some overshoot[2]Ku/3{displaystyle K_{u}/3}Tu/2{displaystyle T_{u}/2}Tu/3{displaystyle T_{u}/3}0.666Ku/Tu{displaystyle 0.666K_{u}/T_{u}}KuTu/9{displaystyle K_{u}T_{u}/9}
no overshoot[2]Ku/5{displaystyle K_{u}/5}Tu/2{displaystyle T_{u}/2}Tu/3{displaystyle T_{u}/3}(2/5)Ku/Tu{displaystyle (2/5)K_{u}/T_{u}}KuTu/15{displaystyle K_{u}T_{u}/15}

The ultimate gain (Ku){displaystyle (K_{u})} is defined as 1/M, where M = the amplitude ratio, Ki=Kp/Ti{displaystyle K_{i}=K_{p}/T_{i}} and Kd=KpTd{displaystyle K_{d}=K_{p}T_{d}}.

These 3 parameters are used to establish the correction u(t){displaystyle u(t)} from the error e(t){displaystyle e(t)} via the equation:

u(t)=Kp(e(t)+1Ti0te(τ)dτ+Tdde(t)dt){displaystyle u(t)=K_{p}left(e(t)+{frac {1}{T_{i}}}int _{0}^{t}e(tau ),dtau +T_{d}{frac {de(t)}{dt}}right)}

which has the following transfer function relationship between error and controller output:

u(s)=Kp(1+1Tis+Tds)e(s)=Kp(TdTis2+Tis+1Tis)e(s){displaystyle u(s)=K_{p}left(1+{frac {1}{T_{i}s}}+T_{d}sright)e(s)=K_{p}left({frac {T_{d}T_{i}s^{2}+T_{i}s+1}{T_{i}s}}right)e(s)}

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Evaluation[edit]

The Ziegler–Nichols tuning (represented by the 'Classic PID' equations in the table above) creates a 'quarter wave decay'. This is an acceptable result for some purposes, but not optimal for all applications.

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This tuning rule is meant to give PID loops best disturbance rejection.[2]

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It yields an aggressive gain and overshoot[2] – some applications wish to instead minimize or eliminate overshoot, and for these this method is inappropriate. In this case, the equations from the row labelled 'no overshoot' can be used to compute appropriate controller gains.

References[edit]

  1. ^Ziegler, J.G & Nichols, N. B. (1942). 'Optimum settings for automatic controllers'(PDF). Transactions of the ASME. 64: 759–768.Cite journal requires journal= (help)
  2. ^ abcdefZiegler–Nichols Tuning Rules for PID, Microstar Laboratories
  • Bequette, B. Wayne. Process Control: Modeling, Design, and Simulation. Prentice Hall PTR, 2010. [1]
  • Co, Tomas; Michigan Technological University (February 13, 2004). 'Ziegler–Nichols Closed Loop Tuning'. Retrieved 2007-06-24.

Pid Auto Tuning

Pid Tuning Methods

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External links[edit]


Tuning A Pid Controller

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