Titlebook: Industrial PID Controller Tuning; With a Multiobjectiv José David Rojas,Orlando Arrieta,Ramon Vilanova Book 2021 Springer Nature Switzerlan

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PID Tuning as a Multiobjective Optimization Problem,complexity of the data. The second approach is to use the data as a database and create a Graphical User Interface (GUI) to serve as the bridge between the user and the results. This GUI was encapsulated as a MATLAB app and is also included as the companion software for this book.

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1430-9491 ith examples of methods put into practice in common industri.Industrial PID Controller Tuning. presents a different view of the servo/regulator compromise that has been studied for a long time in industrial control research. Optimal tuning generally involves comparison of cost functions (e.g., a qua

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PID Controller Design, the chapter explores the tuning based on the minimization of performance criteria which are then applied to integral cost functions. The particular solution to this problem is explored in detail in the next chapter.

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PID Controller Considerations,wn relationship between servo and regulation responses, or between performance and robustness. These trade-offs are what give meaning to the multiobjective approach that will be presented in the rest of the book.

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Application of the Multiobjective Approach,t to different Proportional–Integral–Derivative (PID) controller tuning methods. The example of a LiTaO. Thin Film Deposition Process is used to demonstrate the usage of the multiobjective ideas in a large dead-time process using two cost functions.