On the Relationship between the Pure Delay and the Natural Period of Oscillation

ABSTRACT

This paper provides a proof of the well-known relationship between the pure delay and the natural period of oscillation in industrial systems.

This paper provides a proof of the well-known relationship between the pure delay and the natural period of oscillation in industrial systems.

Received 12 February 2016; accepted 21 March 2016; published 24 March 2016

1. Introduction and Hypothesis

The approximate relationship

(1)

between the pure delay T_{u} and the natural period of oscillation P_{n} in industrial systems is well known to control engineers.

This relationship is in the core of the PID [1] tuning rules designed by Ziegler and Nichols [2] . If the values of integral times T_{i} in the methods of closed loop and open loop are equated, it comes down to

(2)

Solving the right side equation for P_{n}, (1) is reached. So, this relationship is widely used in practice to verify the identification of pure delay, which is not always easy to measure, and then calculate the parameters of PID controllers. However, it is remarkable that it has not received sufficient attention in academia.

This paper presents a demonstration of this relationship based on the behavior of first order systems with pure delay, using basic tools of linear control as root locus and polynomial algebra.

2. Proof

Since P_{n} = 1/f_{n}, where f_{n} is de oscillation frequency, and the angular natural frequency is w_{n} = 2πf_{n}, the natural period can be written as P_{n} = 2π/w_{n}. Substituting this value in Equation (1), this becomes to

(3)

Solving this equation for w_{n}, an equivalent expression to Equation (1) is derived:

(4)

Now, the most of industrial processes can be modeled by first order systems with pure delay, which have the Laplace transfer function [3]

(5)

In this equation, K_{e} is the static gain and T_{g} the process time constant.

For the purpose of finding the characteristic equation of the system, the pure delay can be represented by the second order Padé approximation [4] :

(6)

Then, G(s) is approximated as

(7)

The characteristic equation of the system is obtained by adding numerator and denominator of Equation (7):

(8)

It is necessary to find the value of the static gain K_{e} where a pair of complex conjugate roots reaches the imaginary axis and the system becomes oscillatory with a natural frequency w_{n}.

For readability, each coefficient of Equation (8) is identified as C_{i}. It is then

(9)

To be sure that the roots of this equation are in the left half-plane, a first requirement is that all coefficients are positive. In other words, a limit gain K_{e} can be found when any of these coefficients are set to zero. The only one who is able to accomplish this is C_{2}:

(10)

Solving for K_{e}, a first value K_{el}_{1} of a limit gain is then obtained:

(11)

Now it must be determined if other values of K_{e} can produce imaginary roots in Equation (8). The Routh arrangement [5] of the characteristic equation is constructed for this purpose:

(12)

As stated in Rooth-Hurwitz criterion [6] , the system poles are in the left half plane if there are no sign changes in the first column of the array, and the point where a root is located over the imaginary axis can be found by canceling any of its elements. The only element that is able to be null is the one for s^{1}. Therefore, and considering that is always positive, the condition can be written as.

This corresponds to

(13)

Solving this equation for K_{e}, there are two new values K_{el}_{2} wherein the real part of the roots is canceled:

(14)

It is easy to show that K_{el}_{2a} meets the condition of being positive and is also lower than the value of K_{el}_{1} given by Equation (11). Therefore K_{el}_{2a} shall be the gain value that defines the point of oscillation of the system.

Then, to find the oscillation frequency of the system, K_{el}_{2a} can be replaced into the characteristic Equation (8) and solving it for the values of s, which should be imaginary. However, this way the algebra becomes somewhat tangled. Therefore a property of polynomials is used, which states that secondary equations of the Routh arrangement (12) have roots that satisfy the characteristic equation. In particular, the auxiliary equation corresponding to s^{2} does not have odd powers, so it has symmetric roots with imaginary values:

(15)

The roots of this equation are

(16)

So the natural angular frequency w_{n} is

(17)

Now, in this equation the gain K_{e} must be replaced by the value K_{el}_{2a} that brings the system to the oscillation, obtained in Equation (14). This leads to

(18)

In most industrial systems the pure delay T_{u} is significantly lower than the time constant T_{g}, i.e.. So T_{u} can be omitted when appears beside T_{g} in Equation (18). With this consideration, w_{n} is expressed approximately as

(19)

This value is almost coincident with the stated by Equation (4), which finally proof the hypothesis in Equation (1).

Cite this paper

Chuk, D. and Medina, G. (2016) On the Relationship between the Pure Delay and the Natural Period of Oscillation.*Applied Mathematics*, **7**, 504-507. doi: 10.4236/am.2016.76046.

Chuk, D. and Medina, G. (2016) On the Relationship between the Pure Delay and the Natural Period of Oscillation.

References

[1] O’Dwyer, A. (2006) Handbook of PI and PID Controller Tuning Rules. 2nd Edition, Imperial College Press, 78.

[2] Ziegler, J.G. and Nichols, N.B. (1942) Optimum Settings for Automatic Controllers. Transactions of the ASME, 64,759-768.

[3] Ogata, K. (2003) Ingeniería de control moderna. Pearson Educación, S.A., Madrid.

[4] Cai, J., King, J.B., Merrick, B.M. and Brazil, T.J. (2013) Padé-Approximation-Based Behavioral Modeling. IEEE Transactions on Microwave Theory & Techniques, 61, 4418-4427.

http://dx.doi.org/10.1109/TMTT.2013.2287677

[5] Kavitha, P. and Ramakalyan, A. (2014) Simple and Straight Proofs of Stability Criteria for Finite-Dimensional Linear Time Invariant Systems. Transactions of the Institute of Measurement & Control, 36, 523-528.

http://dx.doi.org/10.1177/0142331213510548

[6] Choghadi, M.A. and Talebi, H.A. (2013) The Routh-Hurwitz Stability Criterion, Revisited: The Case of Multiple Poles on Imaginary Axis. IEEE Transactions on Automatic Control, 58, 1866-1869.

http://dx.doi.org/10.1109/TAC.2013.2242591

[1] O’Dwyer, A. (2006) Handbook of PI and PID Controller Tuning Rules. 2nd Edition, Imperial College Press, 78.

[2] Ziegler, J.G. and Nichols, N.B. (1942) Optimum Settings for Automatic Controllers. Transactions of the ASME, 64,759-768.

[3] Ogata, K. (2003) Ingeniería de control moderna. Pearson Educación, S.A., Madrid.

[4] Cai, J., King, J.B., Merrick, B.M. and Brazil, T.J. (2013) Padé-Approximation-Based Behavioral Modeling. IEEE Transactions on Microwave Theory & Techniques, 61, 4418-4427.

http://dx.doi.org/10.1109/TMTT.2013.2287677

[5] Kavitha, P. and Ramakalyan, A. (2014) Simple and Straight Proofs of Stability Criteria for Finite-Dimensional Linear Time Invariant Systems. Transactions of the Institute of Measurement & Control, 36, 523-528.

http://dx.doi.org/10.1177/0142331213510548

[6] Choghadi, M.A. and Talebi, H.A. (2013) The Routh-Hurwitz Stability Criterion, Revisited: The Case of Multiple Poles on Imaginary Axis. IEEE Transactions on Automatic Control, 58, 1866-1869.

http://dx.doi.org/10.1109/TAC.2013.2242591