Improved PI-PD control design using predictive functional optimization for temperature model of a fluidized catalytic cracking unit

Zou, Hongbo; Li, Haisheng

doi:10.1016/j.isatra.2016.11.010

Cited by 23 publications

(21 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although it has been proved by many previous researchers that the combined PFC-PID controller can keep good performance when the predictive model changes in a certain scale [22][23][24][25], it is a fact that the mismatched model would make the control performance deteriorate if the predictive model deviates far from the designed condition [37,39,46]. For the marine main engine, the load condition varies more extensively.…”

Section: Adaptive Open-loop Gain Associated Mmpfc-pid Controllermentioning

confidence: 99%

“…They were also never illustrated in the similar applications in other different fields [22][23][24][25]27]. …”

Section: Speed Tracking Performance Undermentioning

confidence: 99%

“…The control performance of these applications has been reported to be excellent. For example, PID was combined with predictive functional control (PFC) [22][23][24][25], synthesized with generalized predictive control (GPC) [26,27], compounded with dynamic matric control (DMC) [28,29], composited of some other predictive methods as shown in [30,31].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multiple Model Predictive Functional Control for Marine Diesel Engine

Wang

Liu

et al. 2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

A novel control scheme based on multiple model predictive functional control (MMPFC) is proposed to solve the cumbersome and time-consuming parameters tuning of the speed controller for a marine diesel engine. It combines the MMPFC with traditional PID algorithm. In each local linearization, a first-order plus time delay (FOPTD) model is adopted to be the approximate submodel. To overcome the model mismatches under the load disturbance conditions, we introduce a method to estimate the open-loop gain of the speed control model, by which the predictive multimodels are modified online. Thus, the adaptation and robustness of the proposed controller can be improved. A cycle-detailed hybrid nonlinear engine model rather than a common used mean value engine model (MVEM) is developed to evaluate the control performance. In such model, the marine engine is treated as a whole system, and the discreteness in torque generation, the working imbalance among different cylinders, and the cycle delays are considered. As a result, more reliable and practical validation can be achieved. Finally, numerical simulation of both steady and dynamic performances of the proposed controller is carried out based on the aforementioned engine model. A conventional welltuned PID with integral windup scheme is adopted to make a comparison. The results emphasize that the proposed controller is with stable and adaptive ability but without needing complex and tough parameters regulation. Moreover, it has excellent disturbance rejection ability by modifying the predictive multimodels online.

show abstract

Section: Adaptive Open-loop Gain Associated Mmpfc-pid Controllermentioning

confidence: 99%

“…They were also never illustrated in the similar applications in other different fields [22][23][24][25]27]. …”

Section: Speed Tracking Performance Undermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multiple Model Predictive Functional Control for Marine Diesel Engine

Wang

Liu

et al. 2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…As stated previously, although PID controllers are frequently used in process control applications, they are suitable for small time delay systems [30]. Nonlinearities, uncertainties, and large time delays exist widely in industrial processes, which leads to great difficulty in classical PID control [31].…”

Section: Introductionmentioning

confidence: 99%

“…Nonlinearities, uncertainties, and large time delays exist widely in industrial processes, which leads to great difficulty in classical PID control [31]. Thus, when systems with time delays that are too large are encountered, the PID controller may not provide the desired performance specifications [30]. In addition, it is well known that getting good closed-loop step responses with a PID controller for processes having integrators and unstable poles is difficult [32].…”

Section: Introductionmentioning

confidence: 99%

PI‐PD controller design for time delay systems via the weighted geometrical center method

Özyetkin

Onat

Tan

2019

Asian Journal of Control

View full text Add to dashboard Cite

In this study, a PI‐PD controller tuning method is presented using the weighted geometrical center method, which is based on the calculation of the weighted geometric center of the stability region obtained by the stability boundary locus method. The proposed method for tuning of PI‐PD controller parameters (kd,kf,kp and ki) is performed in three steps. In the first step, the (kd,kf) parameter region for the inner loop with PD controller is obtained, and then the weighted geometric center of this region is calculated. In the second step, the inner PD loop is reduced to a single block using the numerical values of (kd,kf) that are obtained in the first step. Then, the (kp,ki) values of the external loop with PI controller are determined by the same procedure. This tuning method has some advantages over other tuning methods in terms of simplicity and robustness. The simulation examples show that a PI‐PD controller designed using the proposed method provides good performance results when compared to other tuning methods presented in the literature.

show abstract

Robust PID controller design via dominant pole assignment for systems with parametric uncertainties

Dincel

Söylemez

2020

Asian Journal of Control

View full text Add to dashboard Cite

In this paper, a novel robust PID controller design technique is proposed for the parametric uncertain systems via the dominant pole assignment approach. In the closed‐loop, it is aimed that two poles are placed in the desired (dominant) region, and it is guaranteed that the remaining (unassigned) poles are located far away from the dominant pole region under all possible perturbations. The robust PID controller design technique is firstly given for the interval type characteristic polynomials with the help of vertex results. After that, the proposed method is generalized to cover the affine‐linear type characteristic polynomials. The method is based on the well‐known robust stability theorems and the generalized Nyquist theorem. The success of the proposed design technique is demonstrated on the control systems through simulation studies for both the interval and affine‐linear cases and compared with the other robust PID controllers from the literature. It is shown that the proposed robust PID controllers guarantee the desired pole configuration in the closed‐loop, and the closed‐loop performance specifications are satisfied even in the worst case.

show abstract

Improved PI-PD control design using predictive functional optimization for temperature model of a fluidized catalytic cracking unit

Cited by 23 publications

References 28 publications

Multiple Model Predictive Functional Control for Marine Diesel Engine

Multiple Model Predictive Functional Control for Marine Diesel Engine

PI‐PD controller design for time delay systems via the weighted geometrical center method

Robust PID controller design via dominant pole assignment for systems with parametric uncertainties

Contact Info

Product

Resources

About