Negative feedback

Source: Wikipedia, the free encyclopedia.
A simple negative feedback system is descriptive, for example, of some electronic amplifiers. The feedback is negative if the loop gain AB is negative.

Negative feedback (or balancing feedback) occurs when some

function of the output of a system, process, or mechanism is fed back
in a manner that tends to reduce the fluctuations in the output, whether caused by changes in the input or by other disturbances. A classic example of negative feedback is a heating system thermostat — when the temperature gets high enough, the heater is turned OFF. When the temperature gets too cold, the heat is turned back ON. In each case the "feedback" generated by the thermostat "negates" the trend.

The opposite tendency — called positive feedback — is when a trend is positively reinforced, creating amplification, such as the squealing "feedback" loop that can occur when a mic is brought too close to a speaker which is amplifying the very sounds the mic is picking up, or the runaway heating and ultimate meltdown of a nuclear reactor.

Whereas

feedback loops
in which just the right amount of correction is applied with optimum timing, can be very stable, accurate, and responsive.

Negative feedback is widely used in mechanical and electronic engineering, and also within living organisms,[1][2] and can be seen in many other fields from chemistry and economics to physical systems such as the climate. General negative feedback systems are studied in control systems engineering.

Negative feedback loops also play an integral role in maintaining the atmospheric balance in various systems on Earth. One such feedback system is the interaction between solar radiation, cloud cover, and planet temperature.

Blood glucose levels are maintained at a constant level in the body by a negative feedback mechanism. When the blood glucose level is too high, the pancreas secretes insulin and when the level is too low, the pancreas then secretes glucagon. The flat line shown represents the homeostatic set point. The sinusoidal line represents the blood glucose level.

General description

Feedback loops in the human body

In many physical and biological systems, qualitatively different influences can oppose each other. For example, in biochemistry, one set of chemicals drives the system in a given direction, whereas another set of chemicals drives it in an opposing direction. If one or both of these opposing influences are non-linear, equilibrium point(s) result.

In biology, this process (in general, biochemical) is often referred to as homeostasis; whereas in mechanics, the more common term is equilibrium.

In engineering, mathematics and the physical, and biological sciences, common terms for the points around which the system gravitates include: attractors, stable states, eigenstates/eigenfunctions, equilibrium points, and setpoints.

In control theory, negative refers to the sign of the multiplier in mathematical models for feedback. In delta notation, −Δoutput is added to or mixed into the input. In multivariate systems, vectors help to illustrate how several influences can both partially complement and partially oppose each other.[3]

Some authors, in particular with respect to modelling business systems, use negative to refer to the reduction in difference between the desired and actual behavior of a system.[4][5] In a psychology context, on the other hand, negative refers to the valence of the feedback – attractive versus aversive, or praise versus criticism.[6]

In contrast, positive feedback is feedback in which the system responds so as to increase the magnitude of any particular perturbation, resulting in amplification of the original signal instead of stabilization. Any system in which there is positive feedback together with a gain greater than one will result in a runaway situation. Both positive and negative feedback require a feedback loop to operate.

However, negative feedback systems can still be subject to

low pass filters or dampers
fitted.

Examples

Detailed implementations

Error-controlled regulation

Basic error-controlled regulator loop
A regulator R adjusts the input to a system T so the monitored essential variables E are held to set-point values S that result in the desired system output despite disturbances D.[1][7]

One use of feedback is to make a system (say T)

regulation in such systems can range from a simple 'on-off' control to a more complex processing of the error signal.[11]

In this framework, the physical form of a signal may undergo multiple transformations. For example, a change in weather may cause a disturbance to the heat input to a house (as an example of the system T) that is monitored by a thermometer as a change in temperature (as an example of an 'essential variable' E). This quantity, then, is converted by the thermostat (a 'comparator') into an electrical error in status compared to the 'set point' S, and subsequently used by the regulator (containing a 'controller' that commands gas control valves and an ignitor) ultimately to change the heat provided by a furnace (an 'effector') to counter the initial weather-related disturbance in heat input to the house.[12]

Error controlled regulation is typically carried out using a Proportional-Integral-Derivative Controller (

PID controller). The regulator signal is derived from a weighted sum of the error signal, integral of the error signal, and derivative of the error signal. The weights of the respective components depend on the application.[13]

Mathematically, the regulator signal is given by:

where

is the integral time
is the derivative time

Negative feedback amplifier

The negative feedback amplifier was invented by

Bell Laboratories in 1927, and granted a patent in 1937 (US Patent 2,102,671)[14] "a continuation of application Serial No. 298,155, filed August 8, 1928 ...").[15][16]

"The patent is 52 pages long plus 35 pages of figures. The first 43 pages amount to a small treatise on feedback amplifiers!"[16]

There are many advantages to feedback in amplifiers.[17] In design, the type of feedback and amount of feedback are carefully selected to weigh and optimize these various benefits.

Advantages of negative voltage feedback in amplifiers

  1. It reduces non-linear distortion, that is, it has higher fidelity.
  2. It increases circuit stability: that is, the gain remains stable though there are variations in ambient temperature, frequency and signal amplitude.
  3. It increases bandwidth slightly.
  4. It modifies the input and output impedances.
  5. Harmonic, phase, amplitude, and frequency distortions are all reduced considerably.
  6. Noise is reduced considerably.

Though negative feedback has many advantages, amplifiers with feedback can

Nyquist plot
that identify stable feedback systems, including amplifiers and control systems.

Negative feedback amplifier with external disturbance.[18] The feedback is negative if βA >0.

The figure shows a simplified block diagram of a

negative feedback amplifier
.

The feedback sets the overall (closed-loop) amplifier gain at a value:

where the approximate value assumes βA >> 1. This expression shows that a gain greater than one requires β < 1. Because the approximate gain 1/β is independent of the open-loop gain A, the feedback is said to 'desensitize' the closed-loop gain to variations in A (for example, due to manufacturing variations between units, or temperature effects upon components), provided only that the gain A is sufficiently large.

bandwidth, the 'improvement factor'.[22]

If the disturbance D is included, the amplifier output becomes:

which shows that the feedback reduces the effect of the disturbance by the 'improvement factor' (1+β A). The disturbance D might arise from fluctuations in the amplifier output due to noise and nonlinearity (distortion) within this amplifier, or from other noise sources such as power supplies.[23][24]

The difference signal I–βO at the amplifier input is sometimes called the "error signal".[25] According to the diagram, the error signal is:

From this expression, it can be seen that a large 'improvement factor' (or a large loop gain βA) tends to keep this error signal small.

Although the diagram illustrates the principles of the negative feedback amplifier, modeling a real amplifier as a

Negative feedback amplifier
.

Operational amplifier circuits

A feedback voltage amplifier using an op amp with finite gain but infinite input impedances and zero output impedance.[27]

The operational amplifier was originally developed as a building block for the construction of

control systems
.

Operational amplifier circuits typically employ negative feedback to get a predictable transfer function. Since the open-loop gain of an op-amp is extremely large, a small differential input signal would drive the output of the amplifier to one rail or the other in the absence of negative feedback. A simple example of the use of feedback is the op-amp voltage amplifier shown in the figure.

The idealized model of an operational amplifier assumes that the gain is infinite, the input impedance is infinite, output resistance is zero, and input offset currents and voltages are zero. Such an ideal amplifier draws no current from the resistor divider.[28] Ignoring dynamics (transient effects and propagation delay), the infinite gain of the ideal op-amp means this feedback circuit drives the voltage difference between the two op-amp inputs to zero.[28] Consequently, the voltage gain of the circuit in the diagram, assuming an ideal op amp, is the reciprocal of feedback voltage division ratio β:

.

A real op-amp has a high but finite gain A at low frequencies, decreasing gradually at higher frequencies. In addition, it exhibits a finite input impedance and a non-zero output impedance. Although practical op-amps are not ideal, the model of an ideal op-amp often suffices to understand circuit operation at low enough frequencies. As discussed in the previous section, the feedback circuit stabilizes the closed-loop gain and desensitizes the output to fluctuations generated inside the amplifier itself.[29]

Areas of application

Mechanical engineering

The ballcock or float valve uses negative feedback to control the water level in a cistern.

An example of the use of negative feedback control is the

freezers
.

Biology

Control of endocrine hormones by negative feedback.

Some biological systems exhibit negative feedback such as the

diabetes
.

For hormone secretion regulated by the negative feedback loop: when gland X releases hormone X, this stimulates target cells to release hormone Y. When there is an excess of hormone Y, gland X "senses" this and inhibits its release of hormone X. As shown in the figure, most

adrenocorticotropic hormone (ACTH). In turn, ACTH directs the adrenal cortex to secrete glucocorticoids, such as cortisol. Glucocorticoids not only perform their respective functions throughout the body but also negatively affect the release of further stimulating secretions of both the hypothalamus and the pituitary gland, effectively reducing the output of glucocorticoids once a sufficient amount has been released.[30]

Chemistry

Closed systems containing substances undergoing a reversible chemical reaction can also exhibit negative feedback in accordance with Le Chatelier's principle which shift the chemical equilibrium to the opposite side of the reaction in order to reduce a stress. For example, in the reaction

N2 + 3 H2 ⇌ 2 NH3 + 92 kJ/mol

If a mixture of the reactants and products exists at equilibrium in a sealed container and nitrogen gas is added to this system, then the equilibrium will shift toward the product side in response. If the temperature is raised, then the equilibrium will shift toward the reactant side which, since the reverse reaction is endothermic, will partially reduce the temperature.

Self-organization

Self-organization is the capability of certain systems "of organizing their own behavior or structure".[31] There are many possible factors contributing to this capacity, and most often positive feedback is identified as a possible contributor. However, negative feedback also can play a role.[32]

Economics

In economics,

real GDP
.

Mainstream economics asserts that the market pricing mechanism operates to match supply and demand, because mismatches between them feed back into the decision-making of suppliers and demanders of goods, altering prices and thereby reducing any discrepancy. However Norbert Wiener wrote in 1948:

"There is a belief current in many countries and elevated to the rank of an official article of faith in the United States that free competition is itself a homeostatic process... Unfortunately the evidence, such as it is, is against this simple-minded theory."[33]

The notion of economic equilibrium being maintained in this fashion by market forces has also been questioned by numerous

financier George Soros[34] and leading ecological economist and steady-state theorist Herman Daly, who was with the World Bank in 1988–1994.[35]

Environmental Science

Some effects of climate change can either enhance (positive feedbacks) or weaken (negative feedbacks) global warming.[36][37] Observations and modeling studies indicate that there is a net positive feedback to Earth's current global warming.[38]

A basic and common example of a negative feedback system in the environment is the interaction among cloud cover, plant growth, solar radiation, and planet temperature.[39] As incoming solar radiation increases, planet temperature increases. As the temperature increases, the amount of plant life that can grow increases. This plant life can then make products such as sulfur which produce more cloud cover. An increase in cloud cover leads to higher albedo, or surface reflectivity, of the Earth. As albedo increases, however, the amount of solar radiation decreases.[40] This, in turn, affects the rest of the cycle.

Cloud cover, and in turn planet albedo and temperature, is also influenced by the hydrological cycle.[41] As planet temperature increases, more water vapor is produced, creating more clouds.[42] The clouds then block incoming solar radiation, lowering the temperature of the planet. This interaction produces less water vapor and therefore less cloud cover. The cycle then repeats in a negative feedback loop. In this way, negative feedback loops in the environment have a stabilizing effect.[43]

History

Negative feedback as a control technique may be seen in the refinements of the water clock introduced by Ktesibios of Alexandria in the 3rd century BCE. Self-regulating mechanisms have existed since antiquity, and were used to maintain a constant level in the reservoirs of water clocks as early as 200 BCE.[44]

The fly-ball governor is an early example of negative feedback.

Negative feedback was implemented in the 17th century.

Cornelius Drebbel had built thermostatically controlled incubators and ovens in the early 1600s,[45] and centrifugal governors were used to regulate the distance and pressure between millstones in windmills.[46] James Watt patented a form of governor in 1788 to control the speed of his steam engine, and James Clerk Maxwell in 1868 described "component motions" associated with these governors that lead to a decrease in a disturbance or the amplitude of an oscillation.[47]

The term "feedback" was well established by the 1920s, in reference to a means of boosting the gain of an electronic amplifier.[3] Friis and Jensen described this action as "positive feedback" and made passing mention of a contrasting "negative feed-back action" in 1924.[48] Harold Stephen Black came up with the idea of using negative feedback in electronic amplifiers in 1927, submitted a patent application in 1928,[15] and detailed its use in his paper of 1934, where he defined negative feedback as a type of coupling that reduced the gain of the amplifier, in the process greatly increasing its stability and bandwidth.[49][50]

Karl Küpfmüller published papers on a negative-feedback-based automatic gain control system and a feedback system stability criterion in 1928.[51]

Nyquist and Bode built on Black's work to develop a theory of amplifier stability.[50]

Early researchers in the area of cybernetics subsequently generalized the idea of negative feedback to cover any goal-seeking or purposeful behavior.[52]

All purposeful behavior may be considered to require negative feed-back. If a goal is to be attained, some signals from the goal are necessary at some time to direct the behavior.

Cybernetics pioneer Norbert Wiener helped to formalize the concepts of feedback control, defining feedback in general as "the chain of the transmission and return of information",[53] and negative feedback as the case when:

The information fed back to the control center tends to oppose the departure of the controlled from the controlling quantity...: 97 

While the view of feedback as any "circularity of action" helped to keep the theory simple and consistent,

Ashby pointed out that, while it may clash with definitions that require a "materially evident" connection, "the exact definition of feedback is nowhere important".[1]
Ashby pointed out the limitations of the concept of "feedback":

The concept of 'feedback', so simple and natural in certain elementary cases, becomes artificial and of little use when the interconnections between the parts become more complex...Such complex systems cannot be treated as an interlaced set of more or less independent feedback circuits, but only as a whole. For understanding the general principles of dynamic systems, therefore, the concept of feedback is inadequate in itself. What is important is that complex systems, richly cross-connected internally, have complex behaviors, and that these behaviors can be goal-seeking in complex patterns.: 54 

To reduce confusion, later authors have suggested alternative terms such as degenerative,[54] self-correcting,[55] balancing,[56] or discrepancy-reducing[57] in place of "negative".

See also

References

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  5. ^ John D.Sterman, Business Dynamics: Systems Thinking and Modeling for a Complex World McGraw Hill/Irwin, 2000.
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  8. ^ Charles H. Wilts (1960). Principles of Feedback Control. Addison-Wesley Pub. Co. p. 1. In a simple feedback system a specific physical quantity is being controlled, and control is brought about by making an actual comparison of this quantity with its desired value and utilizing the difference to reduce the error observed. Such a system is self-correcting in the sense that any deviations from the desired performance are used to produce corrective action.
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  11. ^ Charles D H Williams. "Types of feedback control". Feedback and temperature control. University of Exeter: Physics and astronomy. Retrieved 2014-06-08.
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  14. ^ Black, Harold (1937-12-21). "U.S. Patent 2,102,671: Wave Translation System" (PDF). www.eepatents.com. Archived from the original (PDF) on 2014-10-06.
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  18. ^ Marc Thomson (2006). "Figure 11-4: Classical single input, single output control loop". Intuitive Analog Circuit Design. Newnes. .
  19. ^ Santiram Kal (2009). "§6.3.1 Gain stability". Basic Electronics: Devices, Circuits, and IT Fundamentals. PHI Learning Pvt. Ltd. pp. 193–194. .
  20. ^ Marc T Thompson, p. 309
  21. ^ Thomas H Lee (2004). The Design of CMOS Radio Frequency Circuits (2nd ed.). Cambridge University Press. p. 447. .
  22. ^ Norbert A Malik (1995). "Improvement Factor". Electronic Circuits: Analysis simulation and design. Prentice Hall. p. 671. .
  23. ^ Santiram Kal (14 January 2009). "§6.3.2 Noise Reduction". Basic Electronics: Devices, Circuits and IT fundamentals. p. 194. .
  24. ^ SK Bhattacharya. "§5.3.3 Effect of feedback on disturbance signal". Linear Control Systems: For Punjab Technical University. .
  25. ^ Muhammad Rashid (2010). Microelectronic Circuits: Analysis & Design (2nd ed.). Cengage Learning. p. 642. .
  26. ^ Wai-Kai Chen (2005). "Chapter 13: General feedback theory". Circuit Analysis and Feedback Amplifier Theory. CRC Press. pp. 13–1. . [In a practical amplifier] the forward path may not be strictly unilateral, the feedback path is usually bilateral, and the input and output coupling networks are often complicated.
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  28. ^ a b G. Schitter; A. Rankers (2014). "§6.3.4 Linear amplifiers with operational amplifiers". The Design of High Performance Mechatronics. IOS Press. p. 499. .
  29. ^ Walter G Jung (2005). "Noise gain (NG)". Op Amp Applications Handbook. Newnes. pp. 12 ff. .
  30. ^ Raven, PH; Johnson, GB. Biology, Fifth Edition, Boston: Hill Companies, Inc. 1999. page 1058.
  31. ^ William R. Uttal (2014). Psychomythics: Sources of Artifacts and Misconceptions in Scientific Psychology. Psychology Press. pp. 95 ff. .
  32. ^ Scott Camazine; Jean-Louis Deneubourg; Nigel R Franks; James Sneyd; Guy Theraulaz; Eric Bonabeau (2003). "Chapter 2: How self-organization works". Self-organization in biological systems. Princeton University Press. pp. 15 ff. .
  33. ^ Cybernetics: Or Control and Communication in the Animal and the Machine p.158
  34. ^ Goeroge Soros, The Alchemy of Finance
  35. ^ Herman Daly, Steady State Economics
  36. ^ "The Study of Earth as an Integrated System". nasa.gov. NASA. 2016. Archived from the original on November 2, 2016.
  37. ^ Fig. TS.17, Technical Summary, Sixth Assessment Report (AR6), Working Group I, IPCC, 2021, p. 96. Archived from the original on July 21, 2022.
  38. ^ Stocker, Thomas F.; Dahe, Qin; Plattner, Gian-Kaksper (2013). IPCC AR5 WG1. Technical Summary (PDF). Archived (PDF) from the original on 16 July 2023. See esp. TFE.6: Climate Sensitivity and Feedbacks at p. 82.
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  52. ^ Rosenblueth, Arturo, Norbert Wiener, and Julian Bigelow. "Behavior, purpose and teleology." Philosophy of science 10.1 (1943): 18-24.
  53. ^ Norbert Wiener Cybernetics: Or Control and Communication in the Animal and the Machine. Cambridge, Massachusetts: The Technology Press; New York: John Wiley & Sons, Inc., 1948.
  54. ^ Hermann A Haus and Richard B. Adler, Circuit Theory of Linear Noisy Networks, MIT Press, 1959
  55. .
  56. . Balancing or negative feedback counteracts and opposes change
  57. .

External links