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Cereals processing technology

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46 <strong>Cereals</strong> <strong>processing</strong> <strong>technology</strong><br />

determine optimum control strategies and set points that can be implemented<br />

within existing control systems. They do not, however, take action on the basis<br />

of the optimum solution determined.<br />

On-line Near Infra Red (NIR) apparatus is being used in an open loop system<br />

to control flour ash in flour mills. In this example the measurement device<br />

simply presents real time results of flour ash to the process operator. The<br />

operator closes the control loop by assessing the measured data and acting<br />

appropriately to maximise product yield and minimise product fluctuation. I am<br />

not aware of closed loop control being in place in any operational facilities.<br />

Indeed, the similarities between the closed loop control of flour protein 18 and the<br />

potential for closed loop control of flour ash or starch damage has not been<br />

recognised by many in the flour milling industry. There are mills in operation<br />

today that have the on-line measurement capability and automated roll gap<br />

measurement available, but the link between the two using adaptive control has<br />

not been made.<br />

3.8.3 Application of optimisation techniques<br />

Successful application of optimisation techniques involves a systematic<br />

approach to using any models developed. The first step of the methodology is<br />

concerned with steady state optimisation. This process delivers predictions of<br />

potential benefits and savings. However, plants never actually operate at steady<br />

state, but rather are in a perpetual transient state due to a variety of disturbances.<br />

Nevertheless, the benefits predicted by steady state simulations may be achieved<br />

on average, thereby improving process performance.<br />

Dynamic optimisation must be performed to compensate for process<br />

disturbances and involves reacting to these disturbances in such a manner that<br />

plant productivity is maximised at every instant in time. Dynamic models in the<br />

form of simulations can be used for off-line control strategy development and<br />

on-line dynamic models can be used to help make well-informed responses to<br />

each disturbance.<br />

Reyman (1992) gives an example of the application of an integrated control<br />

system in the design of a new process. The importance of a methodical approach<br />

and especially proper choice of a process model is shown. In summary, the steps<br />

towards integrated control development from beginning to end should consist of<br />

the following:<br />

1. Determination of control performance requirements and collecting process<br />

data.<br />

2. Analysis of process instrumentation.<br />

3. Analysis of process input/output responses.<br />

4. Improvement of the primary control strategy.<br />

18 The protein content of flour is a strictly controlled parameter in flour mills. Most modern mills<br />

employ closed loop control systems to maintain flour protein at predetermined levels.

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