Temperature Control of a CSTR using a Nonlinear PID Controller

Abstract

CSTR (Continuous Stirred Tank Reactor) which plays a key role in the chemical plants exhibits highly nonlinear behavior as well as time-varying behavior during operation. The control of CSTRs in the whole operating range has been a challenging problem to control engineers. So, a variety of feedback control forms and their tuning methods have been implemented to guarantee the satisfactory performance. This paper presents a scheme of designing a nonlinear PID controller incorporating with a GA (Genetic Algorithm) for the temperature control of a CSTR. The gains of the NPID controller are composed of easily implementable nonlinear functions based on the error and/or the error rate and its parameters are tuned using a GA by minimizing the ITAE (Integral of Absolute Error). Simulation works for reference tracking and disturbance rejecting performances and robustness to parameter changes show the feasibility of the proposed method.

Parameter optimization of nonlinear PID controller using RBF neural network for continuous stirred tank reactor

“…4 In recent years, the control algorithm combining nonlinear control and PID control has been used in system control. 5,6 NPID combines PID control with nonlinear control strategy, which not only inherits the simple structure of linear PID algorithm, but also shows good control performance in nonlinear system control, making it one of the simplest and most effective control methods in many control algorithms. 7 However, one of the main problems of the NPID controller is that control performance is affected by factors such as nonlinear function selection and manual parameter tuning.…”

Designing real time model mobile monitoring system for model predictive control in a nonlinear continuous stirred tank reactor

“…In most process industries, chemical reactors like a continuous stirred tank reactor (CSTR) plays a major role, and the control strategy could be very crucial in achieving desirable yields, conversion, rates, and minimizing the formation of side products. CSTR control over a wide operating range has been a major issue to control engineers as it exhibits a highly nonlinear behaviour and time varying behaviour . Thus, a traditional control mechanism like a proportional–integral–derivative (PID) controller may not be sufficient to achieve optimum performance and robustness.…”