New tuning formulas for a nonlinear PID control scheme

Many processes operated in chemical process industries show time-varying and highly nonlinear characteristics. This paper proposes an enhanced nonlinear PID (NPID) controller for the improvement of setpoint tracking or disturbance rejection responses and new tuning formulas for a FOPTD process model...

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Veröffentlicht in:International journal of system assurance engineering and management 2023-12, Vol.14 (6), p.2470-2484
Hauptverfasser: Son, Yung-Deug, Jin, Gang-Gyoo, Yetayew, Tefera T., Pal, Pikaso
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container_issue 6
container_start_page 2470
container_title International journal of system assurance engineering and management
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creator Son, Yung-Deug
Jin, Gang-Gyoo
Yetayew, Tefera T.
Pal, Pikaso
description Many processes operated in chemical process industries show time-varying and highly nonlinear characteristics. This paper proposes an enhanced nonlinear PID (NPID) controller for the improvement of setpoint tracking or disturbance rejection responses and new tuning formulas for a FOPTD process model. The NPID controller has a structure with a first-order filter in the derivative term to avoid possible Derivative Kick. The parameters of the NPID controller are expressed in terms of the ratio L / τ of the time delay L to the time constant τ in the process by using the dimensionless approach. Repeated optimizations are performed for each value over the ranges of 0.01 to 1 and 1 to 3 of L / τ and over the ranges of 5 to 30 of the filter parameter N to obtain the average of optimal parameter values that minimize the integral of absolute error performance criterion. By using the least-squares method with together the calculated optimal values and the rule formulas, the tuning rules are obtained. A set of simulation works on the five processes are carried out to demonstrate tracking and disturbance performance and robustness against the noise of this approach.
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subjects Chemical process industries
Controllers
Engineering
Engineering Economics
Least squares method
Logistics
Marketing
Nonlinear control
Organization
Original Article
Parameters
Proportional integral derivative
Quality Control
Reliability
Safety and Risk
Time constant
Time lag
Tracking
Tuning
title New tuning formulas for a nonlinear PID control scheme
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