StudentShare solutions
Triangle menu

Model Predictive Control - Essay Example

Not dowloaded yet

Extract of sample
Model Predictive Control

By having access to data for several previous occurrences, it is more likely that a person familiar with the process can discern important patterns and identify the underlying cause(s) for the abnormal condition. Suppose that it is desired to analyze an abnormal condition, which is represented by multivariate time-series data for key process variables (e.g., measurements of controlled and manipulated variables for several interacting control loops). The objective is to locate similar, previous episodes (if they exist) in a large historical database, using an unsupervised learning technique. The proposed method does not require a process model, training data, or planned experiments. Instead, the analysis is based on historical operating data, which may be compressed
Chemical manufacturing processes present many challenging control problems, including: nonlinear dynamic behaviour; multivariable interactions between manipulated and controlled variables; unmeasured state variables; unmeasured and frequent disturbances; high-order and distributed processes; uncertain and time-varying parameters; unmodelled dynamics; constraints on manipulated and state variables; and (variable) dead time on inputs and measurements. Further, reliable measurements of important variables to be controlled, such as quality related variables, are often difficult to obtain on-line. A number of control approaches and algorithms that are able to handle some of the above process characteristics have been presented in the academic literature in resent years. Bequette (1991) gives a review of various approaches, such as: internal model approaches; differential geometric approaches; reference system synthesis techniques, including internal decoupling and generic model control; model predictive control approaches; and also various special and ad hoc approaches. Many of these Automatic Control approaches are not able to handle the various process characteristics and requirements met in industrial applications, and some of the approaches can only be applied for special classes of models.

Nonlinear Model

Nonlinear model predictive control appears to be the only general approaches which can handle most of the common process characteristics and industrial requirements in a satisfactory way. It also seems to be the approaches, which are most suitable for the development of general and application independent software, which is essential for the development of cost-effective applications. For the above reasons this survey will focus on nonlinear model predictive control approaches presented in the open literature. Algorithms for nonlinear model predictive control are often extensions of linear model predictive control algorithms. For continuity the main characteristic features of linear model predictive control are briefly discussed.

A nonlinear model is used for predicting the effects of past inputs. Future input moves, however, are calculated from a linear model, by solving av. quadratic program at each sampling time. The computational burden is then comparable to the ordinary QDMC algorithm. In the case of a nonlinear state-space model, the linear model is obtained by linearizing the nonlinear model around the current state estimate. In the case of an input-output model the nonlinear model is also linearized, and a minimal state-space realization of the linear ...Show more

Summary

The detection and diagnosis of abnormal conditions in industrial plants is important for several reasons that include reducing variability in product quality, detecting equipment wear or instrument malfunction, and ensuring plant safety. Large industrial plants commonly store thousands of process variables as often as every second in historical databases…
Author : geoschamberger
Model Predictive Control essay example
Read Text Preview
Save Your Time for More Important Things
Let us write or edit the essay on your topic
"Model Predictive Control"
with a personal 20% discount.
Grab the best paper

Related Essays

Implementing Total Predictive Maintenance
Malaysian Manufacturing sector has impressed its critics for more than two decades now. Its phenomenal performance has allowed the Malaysian manufacturing sector to enjoy competitive advantage over other foreign manufacturers in terms of cost and quality. However, as time passed, efficiency and effectiveness of the equipment and machinery emerged as one of the most important critical success factors in the manufacturing sector.
5 pages (1250 words) Essay
Compstat: Predictive Policing
Compstat: Predictive Policing Introduction The growing crime rates in cities and other urbanized areas have influenced countries like United States to pay particular attention to crime prevention and intervention. In order to identify the probabilities of future crimes and to take proactive measures to respond to those situations, law enforcement departments have developed an innovative concept called preventive policing.
3 pages (750 words) Essay
Predictive sales Report
For example consumer spending behavior, the operations of a company and even the marketing aspects are directly related to the financial situation. Irrespective of the size of business, the impact of financial scenario in business is almost identical. However, large companies generally have better capacity in dealing with credit crunches.
8 pages (2000 words) Essay
Bureaucratic and Normative Control
For the moment, we shall only be concerned with the empirical elements which refer to the various characteristics of bureaucracy. Indeed, the characteristics contained in the ideal type, although transformed and exaggerated in a certain way, correspond, more or less, to concrete features of existing organisations.
12 pages (3000 words) Essay
Maintenance Strategy Essay
Ex'm'le' 'f 'r''e''e' where b't'h re''t'r' 're be''ming widely u'ed 're f''d 'r'du't', 'h'rm''euti''l', ''int', ''lymer' 'nd ''e'i'lity 'hemi''l'. Thi' trend i' ex'e'ted t' ''ntinue 'ver the next de''de' '' the m'dern indu'try 'ur'ue' the m'nuf''ture 'f l'w-v'lume, high-v'lue 'dded 'hemi''l'.
15 pages (3750 words) Essay
Predictive Policing
ut of crime zones is done using (Henry, 2003) Geographical Information Systems (GIS) which is tallied using statistics of crime in particular regions. This means that police officers do not need to make random patrols but rather target specific regions that are notorious in
4 pages (1000 words) Essay
Predictive vs. Adaptive SDLC
In fact, a large number of books and articles have been written in favor of adaptive approach. This approach provides an excellent support for accommodating changes at any stage. It is an admitted fact that a change is inevitable and it occurs all the time throughout the
1 pages (250 words) Essay
Predictive Methods
The experts actively engage in responding to questionnaires with the aim of reducing the range of responses arriving close to consensus of the experts [2]. In this method, the experts answer the questions and
1 pages (250 words) Essay
Gate-control Model of Pain
The Gate Control Theory asserts that activation of nerves which do not transmit pain signals can interfere with signals form pain fibers thus hindering pain. It further states that non painful input closes the gate to painful input which prevents
6 pages (1500 words) Essay
A 3000 Portfolio Assignment
100). The agile system emphasizes on a response that is flexible and efficient based on particular customer demand (Fawcett, Ellram and Ogden, 2014, p. 150). The hybrid system of supply chain
11 pages (2750 words) Essay
Get a custom paper written
by a pro under your requirements!
Win a special DISCOUNT!
Put in your e-mail and click the button with your lucky finger
Your email
YOUR PRIZE:
Apply my DISCOUNT
Comments (0)
Rate this paper:
Thank you! Your comment has been sent and will be posted after moderation