scholarly journals Design and Comparison of Strategies for Level Control in a Nonlinear Tank

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 735
Author(s):  
Claudio Urrea ◽  
Felipe Páez
Keyword(s):  
Control Strategies ◽  
Internal Model Control ◽  
Proportional Integral Derivative ◽  
Level Control ◽  
Random Input ◽  
Performance Indexes ◽  
Highly Nonlinear ◽  
Model Control ◽  
Tank System ◽  
Momentary Load

In this work, a study of the water level control of an inverted conical tank system is presented. This type of tank has highly nonlinear mathematical and dynamic characteristics. Four control strategies are designed, applied, and compared, namely classical Proportional–Integral–Derivative (PID), Gain Scheduling (GS), Internal Model Control (IMC), and Fuzzy Logic (FL). To determine which of the designed control strategies are the most suitable for an inverted conical tank, a comparative study of the behavior of the system is carried out. With this purpose, and considering situations much closer to reality, a variety of scenarios, such as step responses, random input disturbances, and momentary load disturbances, are conducted. Additionally, performance indexes (error- and statistics-based) are calculated to assess the system’s response.

scholarly journals Soft Computing Based Tuning of PI Controller With Cuckoo Search Optimization For Level Control of Hopper Tank System

2021 ◽  
Author(s):  
Vinothkumar c ◽  
C Esakkiappan
Keyword(s):  
Soft Computing ◽  
Cuckoo Search ◽  
Pi Controller ◽  
Internal Model Control ◽  
Level Control ◽  
Search Optimization ◽  
Model Control ◽  
Tank System ◽  
Cuckoo Search Optimization ◽  
Tuning Methods

Abstract The paper work focuses on soft computing and Conventional tuning approach to design of PI controller, which provides a better sustainable performance for a nonlinear hopper tank system which is used in Wastewater treatment applications. The system processes the combination of a conical and cylindrical tank for providing Multi-region based mathematical modelling to obtain the first order with delay time (FOPDT) process transfer function model. The Ziegler Nichols, Cohen-coon, Tyreus Luben, CHR (Chien, Hrones, and Reswick), IMC (Internal Model Control), Direct Synthesis, FOPI( Fractional Order PI) Conventional tuning formulae and Cuckoo Search Optimization (CSO) algorithm are used to optimize the servo regulatory responses of PI controller. The integral and proportional gain of the PI controller is said to produce the fastest settling time and reduces the error using performance indices and achieves Liquid Level control in hopper tank. Comparison is made for the various conventional controller tuning methods with Cuckoo Search Optimization tuning responses and identified to CSO-PI method offers enhanced Optimized Performance while comparing to Conventional tuning methods for a region based system.

The Liquid Level Control Based on New Two-Degree-of-Freedom IMC-PID

2012 ◽  
Vol 157-158 ◽  
pp. 456-461
Author(s):  
Wen Jin Wu ◽  
Shan He Jiang ◽  
Ju Lang Jiang
Keyword(s):  
Control System ◽  
Internal Model Control ◽  
Degree Of Freedom ◽  
Cascade Control ◽  
Liquid Level ◽  
Level Control ◽  
Model Control ◽  
Water Tanks ◽  
Two Degree Of Freedom ◽  
Cascade Control System

For the cascade control system of double water tanks liquid level ,the water tanks model is established .The new two-degree-of-freedom IMC-PID regulator is designed by new internal model control(IMC) theory and it is the main controller of the cascade control system . The system performance is directly related to the two adjustable parameters of regulator. By adjusting the two parameters, very good dynamic response performance of both the setting value tracking and anti-interference characteristics can be achieved simultaneously. Simulation results have shown the validity of the proposed control scheme compared with the conventional PID regulator and the old two-degree-of-freedom IMC-PID regulator.

Decrease of the Energetic Consumption in Process Control

2010 ◽  
Author(s):  
Fabio Castrillon ◽  
Rafael E. Vasquez
Keyword(s):  
Control Strategies ◽  
Internal Model Control ◽  
Energetic Cost ◽  
Control Element ◽  
Heating Process ◽  
Maximum Deviation ◽  
Control Techniques ◽  
Automatic Control Systems ◽  
Model Control ◽  
Work Done

Several indexes to compare the performance of automatic control systems applied to specific processes are shown in control theory literature. Nevertheless, crucial aspects like the energetic cost to eliminate the controlled variable deviation and the work done by the final control element, are neglected. In this work, different control strategies such as conventional proportional-integral-derivative (PID) controllers, feed-forward control algorithms and internal model control techniques are compared. The comparison is made in an alimentary fluid heating process. The performance is measured by using the integral of the absolute value of the error, the settling time, the maximum deviation of the controlled variable, the work done by the final control element and the energetic cost associated with the manipulated variable. It is demonstrated how the additional control techniques can help to decrease the energetic operation costs. All the strategies can be implemented using typical industrial instrumentation.

CONTROL OF A COUPLED TANK SYSTEM USING PI CONTROLLER WITH ADVANCED CONTROL METHODS

2016 ◽  
Vol 78 (7-4) ◽  
Author(s):  
Ling Nai Ho ◽  
Norhaliza Abdul Wahab ◽  
Ibrahim A. Shehu ◽  
A. Alhassan ◽  
I. Albool ◽  
...  
Keyword(s):  
Process Control ◽  
Gain Scheduling ◽  
Pi Controller ◽  
Internal Model Control ◽  
Liquid Level ◽  
Pole Placement ◽  
Advanced Process Control ◽  
Tuning Method ◽  
Model Control ◽  
Tank System

The liquid level control in tanks and flow control between cascaded or coupled tanks are the basic control problems exist in process industries nowadays. Liquids are to be pumped, stored or mixed in tanks for various types of chemical processes and all these require essential control and regulation of flow and liquid level. In this paper, different types of tuning methods are proposed for Proportional-Integral (PI) controller and are further improved with integration of Advanced Process Control (APC) method such as feedforward and gain scheduling to essentially control the liquid level in Tank 2 of a coupled tank system. The MATLAB/Simulink tools are used to design PI controller using pole-placement, Ciancone, Cohen Coon and modified Ziegler-Nichols tuning method with Cohen Coon tuning method found to have a better performance.  Advanced process control such as feedforward-plus-PI, Gain Scheduling (GS) based PI, Internal Model Control (IMC) based PI, feedforward-plus-GS-based PI and feedforward-plus-IMC-based PI controllers are further tested as improvement version to further compare the significance of the advanced process control outcomes hence GS-PI, improved GI-base PI-plus FF found to have better performance. The GS method is built over five operating points to approximate the system’s nonlinearity and is eventually combined with feedforward control to yield a much better performance.

Internal Model Control–Proportional Integral Derivative–Fractional-Order Filter Controllers Design for Unstable Delay Systems

2015 ◽  
Vol 138 (2) ◽  
Author(s):  
Kahina Titouche ◽  
Rachid Mansouri ◽  
Maamar Bettayeb ◽  
Ubaid M. Al-Saggaf
Keyword(s):  
Fractional Order ◽  
Internal Model ◽  
Closed Loop ◽  
Control Structure ◽  
Internal Model Control ◽  
Loop System ◽  
Proportional Integral Derivative ◽  
Closed Loop System ◽  
Proportional Integral ◽  
Model Control

An analytical design for proportional integral derivative (PID) controller cascaded with a fractional-order filter is proposed for first-order unstable processes with time delay. The design algorithm is based on the internal model control (IMC) paradigm. A two degrees-of-freedom (2DOF) control structure is used to improve the performance of the closed-loop system. In the 2DOF control structure, an integer order controller is used to stabilize the inner-loop, and a fractional-order controller for the stabilized system is employed to improve the performance of the closed-loop system. The Walton–Marshall's method, which is applicable to quasi-polynomials, is then used to establish the internal stability condition of the closed-loop system (the fractional part of the controller in particular) and to seek the set of stabilizing proportional (P) or proportional-derivative (PD) controller parameters.

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