Classical Control Using H-infinity Methods: An Introduction by J. William Helton

By J. William Helton

One of many major accomplishments of keep watch over within the Nineteen Eighties used to be the advance of H8 options. This publication teaches regulate procedure layout utilizing H8 equipment. scholars will locate this e-book effortless to exploit since it is conceptually uncomplicated. they are going to locate it valuable as a result of frequent attraction of classical frequency area tools. Classical keep an eye on has continuously been awarded as trial and blunder utilized to express situations; Helton and Merino supply a way more specific strategy. This has the super benefit of changing an engineering challenge to 1 that may be placed without delay right into a mathematical optimization package deal. After finishing this direction, scholars can be acquainted with how engineering specifications are coded as designated mathematical constraints.

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Extra resources for Classical Control Using H-infinity Methods: An Introduction to Design

Example text

2 we showed how to convert the most basic specifications in a control problem to precise performance measures (suitable for computer optimization). 2 — for example, if the plant has a pole or a zero on the ju axis. In this section we give additional performance measures, in particular ones that deal with zeros or poles of the plant on the jui axis. 1 Peak magnitude One common constraint is that the magnitude of the closed-loop transfer function T not become too large; if it does, then T is close to unstable.

The basic control problem we consider is Design Given a plant P, a set of performance requirements P, and a set of feasible functions 1 = {T 6 7£W°° : T is the closed loop of an internally stable system S with plant P}, determine if there exist T G T that satisfy all the performance requirements in V. If the answer is yes, find one such T. The method used to solve Design is as follows: I. Obtain a mathematical description of the performance and internal stability requirements (write down disk inequalities, and take notice of the unstable poles and zeros of the plant).

Thus 38 CHAPTER 4. OPTIMIZATION Fig. 2. Plot of the function g(u) = l/r(uj)2\k(juj) - T(jw)|2. 1). For designable T and given center and radius functions k and r, respectively, the expression is called the circular performance function, or simply performance function. The number 7(T) is the worst-case performance o f T , but most of the time we will simply call it the performance of T. 3 Finding T with best performance A feasible function T* with the property that is called optimal. We reserve the symbol 7* for the "optimal performance," that is, the performance of the optimal designable transfer function: The optimal designable function T* is a precious object since there is no other T that has better performance.

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