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Quantitative feedback theory

Quantitative feedback theory is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Quantitative feedback theory rather than just read about it. In short: In control theory, quantitative feedback theory (QFT), developed by Isaac Horowitz (Horowitz, 1963; Horowitz and Sidi, 1972), is a frequency domain technique utilising the Nichols chart (NC) in order to achieve a desired robust design over a specified region of plant uncertainty. Desired time-domain responses are translated into frequency domain tolerances, which lead to bounds (or constraints) on the loop transmiss…

Quantitative feedback theory — main illustration
Quantitative feedback theory — illustration

Key takeaways

  • Quantitative feedback theory belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Quantitative feedback theory to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Quantitative feedback theory from memory before moving on to harder problems.

Reference excerpt

In control theory, quantitative feedback theory (QFT), developed by Isaac Horowitz (Horowitz, 1963; Horowitz and Sidi, 1972), is a frequency domain technique utilising the Nichols chart (NC) in order to achieve a desired robust design over a specified region of plant uncertainty. Desired time-domain responses are translated into frequency domain tolerances, which lead to bounds (or constraints) on the loop transmission function. The design process is highly transparent, allowing a designer to see what trade-offs are necessary to achieve a desired performance level.

Plant templates

Usually any system can be represented by its Transfer Function (Laplace in continuous time domain), after getting the model of a system. As a result of experimental measurement, values of coefficients in the Transfer Function have a range of uncertainty. Therefore, in QFT every parameter of this function is included into an interval of possible values, and the system may be represented by a family of plants rather than by a standalone expression.

P ( s ) = { ∏ i ( s + z i ) ∏ j ( s + p j ) , ∀ z i ∈ [ z i , m i n , z i , m a x ] , p j ∈ [ p j , m i n , p j , m a x ] } {\displaystyle {\mathcal {P}}(s)=\left\lbrace {\dfrac {\prod _{i}(s+z_{i})}{\prod _{j}(s+p_{j})}},\forall z_{i}\in [z_{i,min},z_{i,max}],p_{j}\in [p_{j,min},p_{j,max}]\right\rbrace }

A frequency analysis is performed for a finite number of representative frequencies and a set of templates are obtained in the NC diagram which encloses the behaviour of the open loop system at each frequency.

Frequency bounds Usually system performance is described as robustness to instability (phase and gain margins), rejection to input and output noise disturbances and reference tracking. In the QFT design methodology these requirements on the system are represented as frequency constraints, conditions that the compensated system loop (controller and plant) could not break. With these considerations and the selection of the same set of frequencies used for the templates, the frequency constraints for the behaviour of the system loop are computed and represented on the Nichols Chart (NC) as curves. To achieve the problem requirements, a set of rules on the Open Loop Transfer Function, for the nominal plant L 0 ( s ) = G ( s ) P 0 ( s ) {\displaystyle L_{0}(s)=G(s)P_{0}(s)} may be found. That means the nominal loop is not allowed to have its frequency value below the constraint for the same frequency, and at high frequencies the loop should not cross the Ultra High Frequency Boundary (UHFB), which has an oval shape in the center of the NC.

Loop shaping The controller design is undertaken on the NC considering the frequency constraints and the nominal loop L 0 ( s ) {\displaystyle L_{0}(s)} of the system. At this point, the designer begins to introduce controller functions ( G ( s ) {\displaystyle G(s)} ) and tune their parameters, a process called Loop Shaping, until the best possible controller is reached without violation of the frequency constraints. The experience of the designer is an important factor in finding a satisfactory controller that not only complies with the frequency restrictions but with the possible realization, complexity, and quality. For this stage there currently exist different CAD (Computer Aided Design) packages to make the controller tuning easier.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Quantitative feedback theory

Start with the simplest possible case. Write down what Quantitative feedback theory claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Quantitative feedback theory before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Quantitative feedback theory ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Quantitative feedback theory

In research
Quantitative feedback theory appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Quantitative feedback theory in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Quantitative feedback theory is common in secondary-school and first-year university syllabi. It links to neighbouring topics Control theory, so understanding it makes those chapters shorter.
In everyday life
Look for Quantitative feedback theory outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Quantitative feedback theory in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Quantitative feedback theory means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Quantitative feedback theory out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Quantitative feedback theory in simple terms?

In control theory, quantitative feedback theory (QFT), developed by Isaac Horowitz (Horowitz, 1963; Horowitz and Sidi, 1972), is a frequency domain technique utilising the Nichols chart (NC) in order to achieve a desired robust design over a specified region of plant uncertainty. Desired time-domai…

Why does Quantitative feedback theory matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Quantitative feedback theory?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Quantitative feedback theory.

Tags

  • Control theory

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