Abstract : The monitoring of industrial chemical plants and diagnosing the abnormalities in those set ups are crucial in process system domain as they are the deciding factors for the betterment of overall production quality in the process. Various statistical based malfunction detection methods have been included in the literature, namely, univariate and multivariate techniques. The univariate...

Most of the practical systems are characterized by high uncertainty which makes it difficult to maintain good stability margins and performance properties for closed loop system. In case of conventional control, if plant parameter changes we cannot assure about the system performance hence it is necessary to design robust control for uncertain plant. Among the various strategies proposed to tac...

The classic two-state exothermic continuous stirred tank reactor (CSTR) is known to exhibit complex static and dynamic nonlinear behavior, which includes input and output multiplicities, hys-teresis (ignition/extinction behavior), parametric sensitivity, and nonlinear oscillations. An implicit assumption of the two-state CSTR model is that cooling jacket temperature is the manipulated input (fo...

(Received: October 13, 2011; Accepted: November 25, 2011) Abstract: The performance of the continuous stirred tank reactor (CSTR) for the in-situ production of hydrogen gas (H ) integrated with a polymer electrolyte membrane fuel cell (PEMFC) was investigated. Facultative 2 anaerobe fermentation of Enterobacter aerogenes ADH-43 was conducted into CSTR 50 rpm of agitation speed, 37°C of temperat...

this paper introduces a method to design a robust adaptive predictive control based on Fuzzy model. The plant to be used as predictive model is simulated by TakagiSugeno Fuzzy Model, and the optimization problem is solved by a Genetic Algorithms or Branch and Bound. The method to tune parameters of the model predictive controller based on Lyapunov stability theorem is presented in this paper to...

Continuous Stirred Tank Reactors (CSTR) are the most important and central equipment in many chemical and biochemical industry that exhibit second order complex nonlinear dynamics. The nonlinear dynamics of CSTR poses many design and control challenges. The proposed controller guarantees a stable closed loop behavior over multiple operating points even in presence of disturbances and parametric...

Plant-wide control system design for economically optimum operation of a recycle process with side reaction is studied. The process consists of a liquid phase CSTR followed by two simple distillation columns. The exothermic irreversible reactions A + B → C (main reaction) and C + B → D (side reaction) occur in the CSTR. The reactor effluent is distilled in the recycle column to recycle the ligh...

The controller attempts to minimize the error over time by adjustment of a control variable, such as the position of a control valve, a damper, or the power supplied to a heating element, to a new value determined by a weighted sum Where k p, K i and K d all non negative, denote the coefficients for the proportional, integral and derivative terms. Dead time’s producea decrease in the system pha...

In this paper conventional PID controller provides satisfactory results, still inefficiency persists due to extreme nonlinear nature and uncertainty in the dynamics of the plant. So optimize the pid non linear behavior by Gravitational search algorithm and particle swarm optimization. The PID controller is the most common form of feedback. PID control issued at the lowest level; the multivariab...

As science and technology advance, industrial manufacturing processes get more complicated. Back Propagation Neural Network (BPNN) convergence is comparatively slower for processing nonlinear systems. The system used in this study to evaluate the optimization of BPNN based on LM algorithm proved algorithm’s efficacy through a MATLAB simulation analysis. This paper examined application impact en...