Research Article
A Gain-Scheduling PI Control Based on Neural Networks
Table 1
Summary of parameters and variables in the CSTR model for Case 1.
| | Symbol | Nominal Value | Description |
| | 100 ml/min | Process flow-rate | | 1 mol/l | Concentration of component A | | 350 K | Feed temperature | | 350 K | Inlet coolant temperature | | 100 l/min | Coolant flow-rate | | 100 ml | Volume of tank | | J/(min K) | Heat transfer coefficient | | min−1 | Pre exponential factor | | K | Activation energy | | cal/mol | Heat of reaction | | , | g/l | Liquid densities | | , | 1 cal/(g K) | Heat capacities |
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