PLC-based PID controller for real-time pH neutralization process using Palm Oil Mill Effluent (original) (raw)
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Optimized PID Controller For pH Neutralisation Process
The common problem in pH reactors to determination and control and concerning chemical-based industrial processes by virtue of the non-linearity observed in the titration curve. The pH control had always drawn attention of chemical engineers because of its connotation in various fields as medicine, where the effect of pH on the enzymes and blood is acutely investigated, and the industry which is perturbed with manufacturing of textile dyes, and bleach products. The high non-linearity in pH is an immeasurable challenge in process control and it cannot be effective controlled by the linear PID controller. Hence advanced tuned PID controllers are best suited which are designed and developed for a pH control process in order to control the plant to the desired set point with high quality performance over the entire operating range. The mathematical model of pH process is obtained to ensure the dynamic modifications and stability enhancement. The ZN tuned PID, automatic tuned PID and PSO PID controller is implemented in simulation. The simulation is done using MATLAB software and the results are compared.
Design and Simulation of PID Controller for PH Neutralization Process
International Journal of Innovative Technology and Exploring Engineering
PH control system plays an important role in a wide range of industrial applications particularly in wastewater treatment management. Untreated wastewater generally contains high level of organic materials, numerous pathogenic microorganisms which raised concern in environmental and health hazards. The high non-linearity and time varying in pH neutralization process and the uncertainty of the plant dynamics are the key challenges of the pH control systems. There are many sophisticated PID tuning method, however conventional tuning procedure remains effectives in industries. The overall control scheme involves controls of flow rates of acid and base solutions. Ziegler Nichols method tuning has been developed for first order and second order system, in which, also applicable for pH neutralization control model. This paper elaborates the performance of transient response for pH neutralization process by using empirical techniques through the simulation software along with Proportional-...
The pH control process stays in center in a wide range of industries including wastewater treatment, biotechnology, pharmaceuticals and chemical processing. The general aim is to maintain the pH value within a liquid at a specific level. The objective of this process is to neutralize the fluid under test by regulating the reagent solution flow rate until the mixture stabilizes at set point. After analyzing the mathematical model of the process, Simulink model is developing. Neutralization process is controlling by PI controller and IMC-PI controller .The performance of the advanced controllers are comparing with that of conventional PI controller.
Hybrid Fuzzy Logic and Pid Controller for PH Neutralization Pilot Plant
International Journal of Fuzzy Logic Systems, 2013
Use of Control theory within process control industries has changed rapidly due to the increase complexity of instrumentation, real time requirements, minimization of operating costs and highly nonlinear characteristics of chemical process. Previously developed process control technologies which are mostly based on a single controller are not efficient in terms of signal transmission delays, processing power for computational needs and signal to noise ratio. Hybrid controller with efficient system modelling is essential to cope with the current challenges of process control in terms of control performance. This paper presents an optimized mathematical modelling and advance hybrid controller (Fuzzy Logic and PID) design along with practical implementation and validation of pH neutralization pilot plant. This procedure is particularly important for control design and automation of Physicochemical systems for process control industry.
Control of pH in Fed-batch Neutralisation Processes
The present study aims at bringing out the best features reactor. Nonlinear Control law is derived for the model-based of model-based control, when applied to highly non-linear systems PI controller and expressed in terms of easily measurable like pH-controlled fed-batch processes. For these processes, physical quantities. Then, simulation results are presented to control of pH by conventional PID controller fails to provide show the superior performance of the model-based controller satisfactory performance, because of the extreme non-linearity in over that of the conventional PID controller the pH dynamics. In the present study, for a fed-batch neutralisation process, a non-linear control law has been derived for the model-based PI controller. Typical problems in process II. MODEL DEVELOPMENT control like sampling, delay and perturbations in model parameters are addressed in this study using model-based control.
Effective treatment of waste water is very essential in industries due to their harmful effects.it is essential to maintain pH in neutral region as per titration curve indication of strong acids which shows a small change in input, gives huge change in output in the range 6-8 pH value. Also there should be detection and correction of non-linear characteristics and disturbances such as temperature variations that occur in real time plant scenario. This paper aims to reduce these real time disturbances that effect the pH value and prevent pH operating point in the neutral region. This work involves design of algorithm to choose a suitable tuning method for different plant characteristics and then to tune controller parameters effectively. The tuning methods selected were Ziegler-Nichols method, Astrom-Hagglund method, Tsang-Rad method and Fruehauf tuning rules were applied for PI (Proportional Integral)tuning. This makes adaptive tuning of PI Controller in different plant parameters and disturbances.
Control of pH process using double-control scheme
Nonlinear Dynamics, 2011
Control of pH is mostly needed in continuous process industries and is difficult and challenging due to its time-varying and nonlinear nature of the chemical or biological process. Conventional controllers do not incorporate nonlinear dynamics of the entire pH range (both acid and alkali) and do not show good performance. Dynamics based on specific process nonlinearity of two different ranges is used to design double-control scheme in a feedback structure to enhance the performance of pH process. The mathematical model of pH for a weak acid-strong base is used to design IMC based PID double-controller scheme which provides outstanding set-point tracking and disturbances rejection simultaneously to control pH processes.
IPTEK The Journal for Technology and Science, 2007
The conventional PID control (linear) is popular control scheme that is used in almost pH control at waste water treatment process. pH model with respect to titration liquid flow rate has been known to be intrinsically difficult and nonlinear, especially when the process is conducted to non-linear range pH reference (pH 4-8), the settling time reach a long time. Therefore in this paper the nonlinear controller with self-tuning PID scheme is performed handle pH by training a neural-network based on backpropagation error signals. The pH process model is combination between CSTR (Continuous Stirred Tank Reactor) linear dynamic with H 3 PO 4 , HF, HCl, H 2 S flow rate and nonlinear static electro neutrality (wiener process model). The simulation result has a good and suitable performance under several tests (set-point and load change). The simulation result show the pH control system can follow the change of pH set-point and load with the average steady state error 0.00034. The settling time achieved at 50 second faster than conventional PID controller scheme.
pH control plays a important role in any chemical plant and process industries. For the past four decades the classical PID controller has been occupied by the industries. Due to the faster computing technology in the industry demands a tighter advanced control strategy. To fulfill the needs and requirements Model Predictive Control (MPC) is the best among all the advanced control algorithms available in the present scenario. The study and analysis has been done for First Order plus Delay Time (FOPDT) model controlled by Proportional Integral Derivative (PID) and MPC using the Matlab software. This paper explores the capability of the MPC strategy, analyze and compare the control effects with conventional control strategy in pH control. A comparison results between the PID and MPC is plotted using the software. The results clearly show that MPC provide better performance than the classical controller.
Design and Implementation of Intelligent Control Schemes for a pH Neutralization Process
WSEAS Transactions on Systems and Control archive, 2018
This paper describes, with extensive experimentation and simulation, three aspects of strong acid (Hydrochloric acid, HCl) and strong base (Sodium Hydroxide, NaOH) based pH neutralization process: (i) dynamic modeling, (ii) control, and (iii) optimization. Dynamic pH model based on Artificial Neural Network (ANN) has been used for various simulation studies involving servo and regulatory operations in Fuzzy Logic Control (FLC) scheme, and in optimization of pH controller parameters. This paper compares performance variables, such as Integral of Squared Errors (ISE), and maximum overshoot or undershoots, of optimized fuzzy control technique for servo and regulatory operations. The present work also describes finding optimum parameter settings of the pH controller using various search and optimization techniques such as Genetic Algorithm (GA), Differential Evolution (DE), and Particle Swarm Optimization (PSO), and the convergence of optimization techniques