Robust PID Controller Design for Multivariable Processes
Zhiqi Hu, Yujun He, Wei Li
Abstract
Zhiqi Hu, Yujun He, Wei Li
Abstract
Robust PID controller design for multivariable processes is studied in this paper based on loop-shaping Hinfincontrol. In order to implement the complex Hinfincontroller, we propose a method to reduce it to a multivariable PID controller, and give a method to choose the pre-compensator which determines the performance of the closed-loop system. The main contribution of the design method is that the PID parameters can be obtained using one design parameter l which reflects the trade-off between stability robustness and time domain performance of the closed-loop system. Simulations show that the designed multivariable PID controllers have good robust stability and performance.
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Robust PID controller design for multivariable processes is studied in this paper based on loop-shaping Hinfincontrol. In order to implement the complex Hinfincontroller, we propose a method to reduce it to a multivariable PID controller, and give a method to choose the pre-compensator which determines the performance of the closed-loop system. The main contribution of the design method is that the PID parameters can be obtained using one design parameter l which reflects the trade-off between stability robustness and time domain performance of the closed-loop system. Simulations show that the designed multivariable PID controllers have good robust stability and performance.
Key concepts: Multivariable calculus, PID controller, Robustness (evolution), Control theory (sociology), Stability (learning theory), Computer science, Control engineering, Robust control