A model driven PID control system and its application to chemical processes

Yukitomo, M.; Baba, Yuya; Shigemasa, Takashi; Ogawa, Masafumi; Akamatsu, K.; Amano, Souichi

doi:10.1109/sice.2002.1195842

Cited by 2 publications

(2 citation statements)

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“…Alternate between incrementing GCU and GCE until there is overshoot followed by undershoot. 6. Alternate between incrementing GU and decrementing GCE until achieving the best rise time, minimum overshoot and no undershoot.…”

Section: Controllers Tuning Proceduresmentioning

confidence: 99%

“…PID is a linear-type controller and hence is only efficient for a limited operating range when used to control non-linear processes [5]. But most of the industrial processes exhibit nonlinear characteristics and inherit long dead-time such as flow, pH and temperature [5,6]. Moreover, parameters tuning is sensitive and has to be changed with changing process conditions and requires expertise in order to be tuned properly [7].…”

Section: Introductionmentioning

confidence: 99%

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Design of a Fuzzy Logic process Controller for flow applications and implementation in series tanks Pilot Plant

AL-Qutami

Ibrahim

2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

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Flow control is essential in many industrial applications such as chemical reactors, heat exchangers and distillation columns. Most industrial processes exhibit nonlinearities and inherit dead time, which limit the performance of conventional PID controllers. This Project is about the design and implementation of Fuzzy Logic Controller (FLC) for flow control applications. The objective is to overcome problems inherited with conventional PID control scheme such as handling unpredictable disturbance, non-measurable noise as well as further improve the transient state and steady state response performance. The proposed control scheme is implemented in Flow Control and Calibration Pilot Plant. The design is done using Matlab/Simulink software package and is connected to the Pilot Plant through USB-type DAQ cards. Simulation and implementation results showed that the developed controller has less overshoot, good control performance, better disturbance handling ability, great robustness and is more flexible and intuitive to tune. It is expected that this advanced controller improves efficiency and productivity of industrial processes through proper handling of any disturbance or noise and increase the robustness of controller actions.

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Section: Controllers Tuning Proceduresmentioning

confidence: 99%