Robust switched predictive control for multi-phase batch processes with uncertainties and unknown disturbances

Peng, Bo; Shi, Huiyuan; Su, Chengli; Li, Ping

doi:10.1016/j.jprocont.2020.09.003

Cited by 15 publications

(8 citation statements)

References 40 publications

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“…To effectively reflect the advantages of the proposed metho, Reference [19] and the Reference [20] are used as comparison with Theorem 3, where Reference [19] is a synchronous switching control method, and Reference [20] is an asynchronous switching linear ILC method.…”

Section: Resultsmentioning

confidence: 99%

“…The parameters in the IP and the HP are chosen as 1 . Figure 9 shows the output response of the synchronous switching control method [19]. It can be seen from the Figure 9 that the system state appears "Escape" conditions during the switching process, and the control mode of synchronous switching cannot guarantee that the system is stable.…”

Section: Resultsmentioning

confidence: 99%

“…Under the condition of ( ( )) 0 Vx= or ( ) 0 x = , from 0 i = to  on both sides of Eq. (19), it has…”

Section: Preparatory Informationmentioning

confidence: 99%

“…In addition, the MPBP also need to consider the problem of switching between two adjacent phases. Peng et al [19] proposed a robust switching predictive control algorithm using the synchronous switching way for MPBP. However, it does not consider that when two adjacent phases are switched in practice, the state and the controller may not be able to switch immediately due to system identification speed, system's computing speed and other reasons.…”

Section: Introductionmentioning

confidence: 99%

“…(1) Different from the synchronous switching method for the MPBP in reference [19], the proposed method achieves the smooth and stable switching and avoids state "Escape" condition.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Robust Asynchronous Fuzzy Predictive Fault-Tolerant Tracking Control for Nonlinear Multiphase Batch Processes with Time-Varying Tracking Trajectories

Wang

Shi³

et al. 2021

Preprint

Self Cite

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A T-S model-dependent robust asynchronous fuzzy predictive fault-tolerant tracking control scheme is developed for nonlinear multiphase batch processes with time-varying tracking trajectories and actuator faults. Firstly, considering the influence of the mismatch between the previous phase state and the current phase controller during the switching, a T-S fuzzy switching model including the match and mismatch case is established. Depending on the fuzzy switching model, a robust fuzzy predictive fault-tolerant tracking controller is designed by considering the situation whether the model rules correspond to the controller rules. Secondly, using the related theories and methods, the system stability conditions presented by the linear matrix inequality considering the above conditions are provided to guarantee the stability of the system. By solving these stability conditions, the T-S fuzzy control law gain of each phase, the minimum running time of each match case and the maximum running time of each mismatch case are obtained. Then, through the maximum running time, the strategy of the switching signal in advance is adopted to avoid the occurrence of asynchronous switching, so as to ensure that the system can operate stably. Finally, the simulation results verify that the designed controller is effective and feasible.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…Under the condition of ( ( )) 0 Vx= or ( ) 0 x = , from 0 i = to  on both sides of Eq. (19), it has…”

Section: Preparatory Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…(1) Different from the synchronous switching method for the MPBP in reference [19], the proposed method achieves the smooth and stable switching and avoids state "Escape" condition.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Robust Asynchronous Fuzzy Predictive Fault-Tolerant Tracking Control for Nonlinear Multiphase Batch Processes with Time-Varying Tracking Trajectories

Wang

Shi³

et al. 2021

Preprint

Self Cite

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show abstract

Integrated operation optimization strategy for batch process based on process transfer model under disturbance

Chu

Wang

et al. 2022

Can J Chem Eng

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An integrated operation optimization strategy based on the process transfer model (PTM) is proposed in this work, which combines the batch-to-batch optimization method and the within-batch optimization method. The datadriven tool with the joint-Y partial least squares (JYPLS) model is utilized to transfer rich information from a similar old process to the new process to assist the establishment of the model of the new process. However, differences invariably exist between similar batch processes, which can bring about a fateful necessary condition of optimality (NCO) mismatch. Although the traditional batch-to-batch optimization method can overcome the problem of plantmodel mismatch between batches, it is helpless to deal with the problem of mismatch and disturbance during a single batch operation. For the sake of settlement of problems, the within-batch optimization method is introduced. The main advantages of the integrated operation optimization strategy are (i) the plant-model mismatch and disturbances within the batch or during batches can be solved, (ii) the suboptimal results of batch-to-batch optimization can be further compensated, and (iii) the optimization performance is better by discretizing the control profile into several intervals. Taking the cobalt oxalate synthesis process as a simulation study, the superior performance of the proposed strategy is illustrated.

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Constrained model predictive fault-tolerant control for nonlinear batch processes with time delay by integrating a LRF method and a switching strategy

Wang,

Li,

et al. 2024

Chemical Engineering Science

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Robust switched predictive control for multi-phase batch processes with uncertainties and unknown disturbances

Cited by 15 publications

References 40 publications

Robust Asynchronous Fuzzy Predictive Fault-Tolerant Tracking Control for Nonlinear Multiphase Batch Processes with Time-Varying Tracking Trajectories

Robust Asynchronous Fuzzy Predictive Fault-Tolerant Tracking Control for Nonlinear Multiphase Batch Processes with Time-Varying Tracking Trajectories

Integrated operation optimization strategy for batch process based on process transfer model under disturbance

Constrained model predictive fault-tolerant control for nonlinear batch processes with time delay by integrating a LRF method and a switching strategy

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