Adaptive Dynamic Output-feedback Control for Chemical Continuous Stirred Tank Reactor System with Nonlinear Uncertainties and Multiple Time-delays

Zheng, Wei; Wang, Hongbin; Wen, Shuhuan; Wang, Hongrui; Zhang, Zhiming

doi:10.1007/s12555-017-0363-0

Cited by 4 publications

(8 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simulation response of our proposed method for the nonlinear dynamic system in the presence of actuator fault with the initial condition more extraordinary than Reference 49 proved the operational capabilities of fault‐tolerant SMC method on practical systems. Using our proposed method, actuator fault is accurately estimated, and its effect on system stability and performance is attenuated as shown in Figure 10.…”

Section: Simulationmentioning

confidence: 71%

“…In more than 20 s, the control signal changed to minimize the fault effects of state response, fault estimation, and siding surface. Comparing control input response of developed method in Reference 49 in Figure 9 with our proposed approach results shows that control signal in our work converges to zero much less than their responses.…”

Section: Simulationmentioning

confidence: 83%

“…Consider the nonlinear chemical stirred tank reactor system with multiple time‐delays

{h}_1

{h}_2

{d}_1

, and

{d}_2

. The system dynamic according to the References 48 and 49 is further described as follows:

$$ {\displaystyle \begin{array}{ll}\dot{x}(t)& ={A}_0x(t)+{A}_1x\left(t-{h}_1\right)+{A}_2x\left(t-{h}_2\right)+G\left(x(t),x\left(t-{h}_1\right),x\left(t-{h}_2\right)\right)\kern0em \\ {}& \kern1em +{B}_1u\left(t-{d}_1\right)+{B}_2u\left(t-{d}_2\right)+\left({B}_1+{B}_2\right){f}_a(t),\...

…”

Section: Simulationmentioning

confidence: 99%

“…Control signal of chemical continuous stirred tank reactor system based on the proposed approach in Reference 49.…”

Section: Simulationmentioning

confidence: 99%

See 3 more Smart Citations

Fault‐tolerant controller design for nonlinear systems with multiple input and state delays based on sliding mode algorithm

Azmi

Yazdizadeh

2022

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

In this article, a novel sliding mode control (SMC) strategy for nonlinear Lipschitz systems with multiple and dissimilar time delays in the states and inputs is proposed. Using linear matrix inequality, a modified integral sliding surface scientifically based on which the innovative SMC approach is developed. Lyapunov–Krasovskii's theory is employed to guarantee asymptotic stability of the closed‐loop system, such that states starting from any arbitrary initial conditions reach the sliding surface in a finite time and stay on it for all subsequent time. It is also proved that the practical effects of the actuator's faults are simultaneously attenuated. An online adaptive tuning law is used to estimate and isolate actuators' possible faults reliably. From the implementation point of view, the controller structure is more straightforward than the most existing recent fault‐tolerant control methods. Simulation results performed on practical nonlinear systems (quadruple tank and industrial continuous stirred tank reactor) verified the outstanding merits of the proposed approach. The operational capabilities of the proposed scheme in the presence of actuators' faults and multiple delays in the states and inputs were also demonstrated.

show abstract

Section: Simulationmentioning

confidence: 71%

Section: Simulationmentioning

confidence: 83%

“…Consider the nonlinear chemical stirred tank reactor system with multiple time‐delays

{h}_1

{h}_2

{d}_1

, and

{d}_2

. The system dynamic according to the References 48 and 49 is further described as follows:

$$ {\displaystyle \begin{array}{ll}\dot{x}(t)& ={A}_0x(t)+{A}_1x\left(t-{h}_1\right)+{A}_2x\left(t-{h}_2\right)+G\left(x(t),x\left(t-{h}_1\right),x\left(t-{h}_2\right)\right)\kern0em \\ {}& \kern1em +{B}_1u\left(t-{d}_1\right)+{B}_2u\left(t-{d}_2\right)+\left({B}_1+{B}_2\right){f}_a(t),\...

…”

Section: Simulationmentioning

confidence: 99%

“…Control signal of chemical continuous stirred tank reactor system based on the proposed approach in Reference 49.…”

Section: Simulationmentioning

confidence: 99%

See 2 more Smart Citations

Fault‐tolerant controller design for nonlinear systems with multiple input and state delays based on sliding mode algorithm

Azmi

Yazdizadeh

2022

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…Zheng et al [29] designed an adaptive dynamic outputfeedback control for a Chemical Continuous Stirred Tank Reactor System [30][31][32] under varying time delays with Nonlinear Uncertainties and highlighted the betterment of the adaptive control technique then others. Sowmya et al proposed Genetic Algorithm Tuned Fuzzy Controller for a Nonlinear Process and this control algorithm different from numerical algorithms [33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Error Recursion Reduction Computational Technique Based Control System Design for a Multivariable Process

Venkataraman¹,

Veerapathran²,

Girirajkumar³

2020

I2M

View full text Add to dashboard Cite

The optimization problem for multi-variable industrial high-efficiency control systems is to find the optimal parameters that could minimize the errors. In order to get such a stable control system, various control tuning methods were proposed by many researchers, but still, it is a challenge to get an effective controlled system. In this work, a method is proposed in order to attain a stable control system, called Error Recursion -Reduction Computational (ERRC) technique. Two processes, level, and flow are considered; their respective process models are identified and validated. The performance of the proposed technique has verified by implementing real-time transducers' interfaced experimental process. Results are compared with the conventional PID tuning technique and by optimization algorithms. The proposed experimental results show that better closed-loop performance can be achieved than other tuning techniques.

show abstract

Optimal Control of a MIMO Bioreactor System Using Direct Approach

Simorgh

Razminia

Mobayen

et al. 2021

Int. J. Control Autom. Syst.

View full text Add to dashboard Cite

Adaptive Dynamic Output-feedback Control for Chemical Continuous Stirred Tank Reactor System with Nonlinear Uncertainties and Multiple Time-delays

Cited by 4 publications

References 27 publications

Fault‐tolerant controller design for nonlinear systems with multiple input and state delays based on sliding mode algorithm

Fault‐tolerant controller design for nonlinear systems with multiple input and state delays based on sliding mode algorithm

Error Recursion Reduction Computational Technique Based Control System Design for a Multivariable Process

Optimal Control of a MIMO Bioreactor System Using Direct Approach

Contact Info

Product

Resources

About