Process Control and Optimization

5.

Advanced Control Strategies

5.1.

Feedforward Control

5.1.1.

Rationale and Design Principles

5.1.2.

Feedforward Controller Design

5.1.2.1.

Perfect Feedforward Control

5.1.2.2.

Practical Considerations

5.1.3.

Limitations of Feedforward Control

5.1.4.

Combining Feedforward and Feedback Control

5.2.

5.2.1.

Applications of Ratio Control

5.2.2.

Design and Implementation

5.2.3.

Wild Flow vs. Controlled Flow

5.3.

Cascade Control

5.3.1.

Structure of Cascade Control Loops

5.3.2.

Primary and Secondary Loops

5.3.3.

Controller Tuning in Cascade Systems

5.3.4.

Advantages and Limitations

5.4.

Time Delay Compensation

5.4.1.

Smith Predictor

5.4.1.1.

Principle of Operation

5.4.1.2.

Implementation Considerations

5.4.1.3.

Robustness Issues

5.4.2.

Dahlin Controller

5.4.3.

Analytical Predictor

5.5.

Selective and Override Control

5.5.1.

Selector Blocks

5.5.1.1.

5.5.1.2.

5.5.1.3.

Median Selector

5.5.2.

Override Strategies

5.5.3.

Constraint Control

5.6.

Split-Range Control

5.6.1.

Applications and Design

5.6.2.

Valve Sequencing

5.6.3.

Complementary Split-Range

5.6.4.

Exclusive Split-Range

5.7.

Introduction to Multivariable Control

5.7.1.

Process Interactions

5.7.1.1.

Interaction Effects

5.7.1.2.

Multivariable System Representation

5.7.2.

Relative Gain Array (RGA)

5.7.2.1.

Calculation and Interpretation

5.7.2.2.

Pairing Guidelines

5.7.3.

Decoupling Control

5.7.3.1.

Decoupler Design

5.7.3.2.

Static Decoupling

5.7.3.3.

Dynamic Decoupling

5.7.3.4.

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4. Stability of Closed-Loop Systems

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6. Model Predictive Control (MPC)