Design of nonlinear PID controller and nonlinear model predictive controller for a continuous stirred tank reactor

Prakash, J.; Srinivasan, K.

doi:10.1016/j.isatra.2009.02.001

Cited by 78 publications

(35 citation statements)

References 20 publications

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“…The number of the reactor equations depends both on the chemical conversions occurring in the reactor, and on the presence of thermodynamic reaction effects. This can be two equations for direct feedstock conversion into a product [7], or a chain of more equations for multistage feedstock conversion in view of thermodynamics [8]. The nonlinear model of a chemical reactor is sometimes considered as a family of linear models [9].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Design of precise control systems of industrial plants

Stopakevych

Ulitska

2017

EEJET

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Design of precise control systems of industrial plants

Stopakevych

Ulitska

2017

EEJET

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“…By substituting the control law equation (29) in the process output equation (30), the process output can be found out and it is given below:…”

Section: Closed Loop Representation Of Rtda Controllermentioning

confidence: 99%

“…CSTR is considered as one of the benchmark setups for control community to validate control algorithm [27][28][29] and the dynamic behavior of CSTR process is underdamped in nature. The proposed RTDA control scheme performance is tested on dynamic non-linear CSTR process.…”

Section: Rtda Controller Design For Continuous Stirred Tank Reactor (mentioning

confidence: 99%

“…The performance of the RTDA controller design based on SOPDT model is compared with RTDA controller design based on FOPDT model. CSTR process is a highly dynamic non-linear process and is considered as one of the benchmark problems for control community to validate the control algorithm [27][28][29]. Finally the proposed RTDA control scheme is demonstrated on Industrial CSTR process and its performance is compared with DMC based MPC controller.…”

Section: Introductionmentioning

confidence: 99%

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Design of RTDA controller for industrial process using SOPDT model with minimum or non-minimum zero

Anbarasan

Srinivasan

2015

ISA Transactions

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“…Prakash and Senthil formulated a nonlinear observer based model predictive controller (NMPC) based on fuzzy Kalman filter (FKF) and augmented state fuzzy Kalman filter (ASFKF) for CSTR process [10]. A model based control scheme (F-NMPC) reduces the number of computations needed and is considered as an alternative to analytical model based control scheme as discussed in [11,12].…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Based PID Controller Tuning Approach for Continuous Stirred Tank Reactor

Jayachitra¹,

Vinodha

2014

Advances in Artificial Intelligence

139

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Genetic algorithm (GA) based PID (proportional integral derivative) controller has been proposed for tuning optimized PID parameters in a continuous stirred tank reactor (CSTR) process using a weighted combination of objective functions, namely, integral square error (ISE), integral absolute error (IAE), and integrated time absolute error (ITAE). Optimization of PID controller parameters is the key goal in chemical and biochemical industries. PID controllers have narrowed down the operating range of processes with dynamic nonlinearity. In our proposed work, globally optimized PID parameters tend to operate the CSTR process in its entire operating range to overcome the limitations of the linear PID controller. The simulation study reveals that the GA based PID controller tuned with fixed PID parameters provides satisfactory performance in terms of set point tracking and disturbance rejection.

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Design of nonlinear PID controller and nonlinear model predictive controller for a continuous stirred tank reactor

Cited by 78 publications

References 20 publications

Design of precise control systems of industrial plants

Design of precise control systems of industrial plants

Design of RTDA controller for industrial process using SOPDT model with minimum or non-minimum zero

Genetic Algorithm Based PID Controller Tuning Approach for Continuous Stirred Tank Reactor

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