Process control : designing processes and control systems for dynamic performance
著者
書誌事項
Process control : designing processes and control systems for dynamic performance
（McGraw-Hill chemical engineering series）
McGraw-Hill, c1995
大学図書館所蔵 全5件
注記
Includes index
内容説明・目次
内容説明
This text identifies process as the central factor in plant automation and develops theory and practice to present the parameters of good dynamic performance. Approaches are presented for measurement selection, process modification, control structure design and algorithm tuning to achieve good performance over a range of operating conditions. The sequence of topics - modelling, single-loop control and tuning, enhancements, multiloop control, and design - builds the student's ability to analyze increasingly complex systems, culminating in multiloop control design. The full complement of fundamental topics is reinforced by realistic process examples, including challenging end-of-chapter problems. The accompanying workbook and software, in the MATLAB environment, enables the student to reproduce and extend the solved problems and design cases in the textbook. The simulations enable students to implement the digital implementation of most methods like model identification, PID algorithm, windup protection, cascade, feedforward, and model predictive control.
目次
- Introduction to process control
- control objectives and benefits
- mathematical modelling principles
- modelling and analysis for process control
- dynamic behaviour of typical process systems
- empirical model identification
- the feedback loop
- the proportional-integral-derivative (PID) algorithm
- PID controller tuning for dynamic performance
- stability analysis and controller tuning
- digital implementation of process control
- practical application of feedback control
- performance of feedback control systems
- cascade control
- feedforward control
- adapting single-loop control systems for non-linear processes
- inferential control
- level and inventory control
- single-variable model predictive control
- multiloop control - effects of interaction
- multiloop control - performance analysis
- variable structure and constraint control
- centralized multivariable control
- process control design - definition and decisions
- process control design - managing the design procedure
- control for product quality and profit.
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