Abstract
Integrating systems are frequently encountered in power plants, paper-production plants, storage tanks, distillation columns, chemical reactors, and the oil industry. Due to the open-loop instability that leads to an unbounded output from a bounded input, the efficient control of integrating systems remains a challenging task. Many researchers have addressed the control of integrating processes: Some solutions are based on a single closed-loop controller, while others employ more complex control structures. However, it is difficult to find one solution requiring only a simple tuning procedure for the process. This is the advantage of the magnitude optimum multiple integration (MOMI) tuning method. In this paper, we propose an extension of the MOMI tuning method for integrating processes, controlled with a two-degrees-of-freedom (2-DOF) proportional–integral–derivative (PID) controller. This extension allows for calculations of the controller parameters from either time domain measurements or from a process transfer function of an arbitrary order with a time-delay, when both approaches are exactly equivalent. The user has the option to emphasise disturbance-rejection or tracking with the reference weighting factor b or apply two different reference filters for the best overall response. The proposed extension was also compared to other tuning methods for the control of integrating processes and tested on a charge-amplifier drift-compensation system. All closed-loop responses were relatively fast and stable, all in accordance with the magnitude optimum criteria.
Highlights
This paper is an extension of a previous study [1] that proposed tuning of the proportional–integral (PI) controller for integrating processes
As with the magnitude optimum multiple integration (MOMI) tuning method, the reference filter parameters can be calculated from the measured characteristic areas, which can be acquired from the process steady-state time response
This paper presented an adaptation of the MOMI tuning method for the PID controller for the integrating processes
Summary
This paper is an extension of a previous study [1] that proposed tuning of the proportional–integral (PI) controller for integrating processes. In References [20,57], a PID controller and three-state structure for achieving a time-optimal tracking response was proposed Since this method uses an identification technique (least-squares-based) for the calculation of the process model during steady-state changes, it is not necessary to know the process model in advance. PI/PID controller tuning rules and a method for the identification of IPs with a time-delay and inverse response from an open-loop step response were proposed in Reference [100]. A PI/PID controller tuning method that enables specification of the desired closed-loop transfer function for disturbance-rejection, while tracking, using PID controllers, can be independently improved with set-point weighting, was proposed in Reference [115]. To achieve the best overall closed-loop responses (the optimal tracking and disturbance-rejection), two reference filter structures are proposed.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
