Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

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Compensation of the Nonlinear Effect on Anelectro Hydrostatic Cylinder Driver for the Transit and Rotating Motion Using Bilinear System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.875-877.2097 ◽

2014 ◽

Vol 875-877 ◽

pp. 2097-2106

Author(s):

Rai Wung Park

Keyword(s):

High Performance ◽

Nonlinear Behavior ◽

Bilinear System ◽

Mathematic Model ◽

Modeling And Control ◽

Extended Application ◽

Physical Information ◽

Complete Form ◽

And Control ◽

Operating Points

The transit motion and the rotating motion have highly different effects in a technical systems and have almost nonlinear system behaviors. For the descriptions of their dynamical causes and effects on system, the physical information, which is concerned as a nonlinear mathematic model, has been used. But the corresponding equations are generally not easy to solve in complete form or their solutions are so complicated to see through the coherence. A common way to settle such a problem is to linearize system exactly in a state space or on a operating points with Taylor's series approximately. An advanced method to an approximation is a bilinear system that offers global separations principle. In this paper, an extended application of this theory is given in a modeling and control on the electro hydrostatic cylinder driver with both the transit and rotating motions for the keel system that mostly have not only advantage of high performance, small volume of building and weight but also high nonlinear behavior.

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Furnace Temperature Control and Simulation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.2492 ◽

2014 ◽

Vol 556-562 ◽

pp. 2492-2495

Author(s):

Ming Yu Tong ◽

Di Jian Xu ◽

Jin Liang Shi

Keyword(s):

Control System ◽

Temperature Measurement ◽

Temperature Control ◽

Control Algorithm ◽

Rapid Development ◽

Control Object ◽

Simulation Software ◽

Temperature Control System ◽

And Control ◽

Measurement And Control

with the rapid development of science and technology, in all fields of temperature control system of the precision, stability and other requirements of increasingly high, the control system is the myriads of changes. Computer measurement and control technology, the traditional electronic measuring changed dramatically in the principle, function, accuracy and automation degree, degree of automation of the scientific experiment and application engineering to improve. Temperature control key lies in the two aspects of temperature measurement and control. Temperature measurement is based on temperature control, this technology is quite mature. But because of the increasingly complex control object, control in the temperature still exist many problems. This thesis presents the design of industrial temperature resistance furnace computer using PID algorithm, Smith predictive control algorithm, darin algorithm, three algorithms are studied based on the control system, and the control algorithm was simulated using the MATLAB simulation software, and the advanced control algorithm is studied [1-3].

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Modelling and Control of a Hydraulically Actuated Two-Degree-of-Freedom Inertial Platform

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1243/095965105x33527 ◽

2005 ◽

Vol 219 (6) ◽

pp. 405-417 ◽

Cited By ~ 4

Author(s):

T-J Yeh ◽

C-Y Su ◽

W-J Wang

Keyword(s):

Control System ◽

Linear Optimization ◽

Angle Measurement ◽

Open Loop ◽

Degree Of Freedom ◽

Resonant Peak ◽

Pid Controllers ◽

Sensor Signals ◽

And Control ◽

Two Degree Of Freedom

This paper investigates modelling and control issues associated with a two-degree-of-freedom inertial platform for naval applications. In the modelling part, the dynamics of the system are physically characterized and then experimentally identified. It is found that due to the inverted-pendulum structure and the use of hydraulic actuators, the system is open-loop unstable and exhibits different frequency responses when the amplitude of the input signal changes. Moreover, the identification experiment reveals that the inclinometer used has a major resonant peak that will limit the control system performance. Therefore, a complimentary filter scheme is proposed to condition the sensor signals so as to produce a more acceptable absolute-angle measurement. In the control part, two proportional-integral-derivative (PID) controllers, whose control parameters are computed using a non-linear optimization scheme to achieve optimal disturbance rejection with reasonable robustness and noise sensitivity properties, are respectively designed for the pitch and the roll subsystems. Experimental results indicate that when the platform's base frame encounters a biaxial sea-wave motion, the resulted control system can attenuate the vibration to within 10 per cent.

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Application of New Type DCS Simulation Software

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.6309 ◽

2014 ◽

Vol 644-650 ◽

pp. 6309-6312

Author(s):

Yang Chen

Keyword(s):

Control System ◽

High Reliability ◽

Data Communication ◽

Simulation Software ◽

Modular System ◽

Computer Communication ◽

New Type ◽

Machine Interface ◽

Information Focus ◽

And Control

DCS is also known as Distributed Control System, which is based on multiple microprocessors, a combination of Computer, Communication, CRT and Control 4C technology. It is a new type of Control System. The design principle of DCS is decentralized control, centralized operation and decentralized management, and autonomy and comprehensive coordination. The characteristics of the DCS are control dispersion, information focus; Modular system; the strong ability of data communication; friendly and rich man-machine interface; high reliability. DCS system now is used in more and more industries, after constant improvement and changes, is also more and more powerful, and becomes the most widely used process control system in electric power, chemical, metallurgical and other industries.

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Analysis, modeling and simulation of step up converter using Matlab–Simulink and simplorer

International Journal of Modeling Simulation and Scientific Computing ◽

10.1142/s1793962316500045 ◽

2016 ◽

Vol 07 (02) ◽

pp. 1650004

Author(s):

Walid Emar

Keyword(s):

Accurate Determination ◽

Simulation Software ◽

Control Technique ◽

Output Current ◽

Two Phase ◽

Solar Systems ◽

Development Costs ◽

And Control ◽

Operating Points

The basic configuration of step up converter usually used in photovoltaic solar systems to increase the DC voltage generated at their outputs suffers from some drawbacks just like high ripple in the output voltage, greater losses in the system and unstable dynamic behavior. To eliminate these drawbacks, this paper introduces a two-phase connection of step up converter with uncoupled smoothing reactors. Detailed analysis, simulation and control strategy have been proposed in this paper to investigate the advantages of using such connection with uncoupled reactors. This paper is intended to prove that two-phase connection with uncoupled reactors helps increasing the output power of the converter, minimizing its output ripple and making its control easier and more efficient. It also increases the converter chopping frequency and consequently decreases the size of smoothing reactors and filters used in the system. Concerning the design of such converters, it requires a long working period of time with a significant cost and specific technical tests at nominal operating points. Therefore, simulation can essentially decrease economic and development costs. Using modulation and simulation software techniques (Simplorer, Simulink, and Matlab) throughout this paper helped simulation of very fast the converter behavior and accurate determination of its dynamic characteristics. Moreover, the paper deals with modulation of voltage control technique using Matlab and Simplorer, thus regulating the converter output current and voltage. Simulation results show that this control technique provides robust output current and voltage of step up converters and is more feasible for their chopper up conversion technique.

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Using Simplified Swarm Optimization on Multiloop Fuzzy PID Controller Tuning Design for Flow and Temperature Control System

Applied Sciences ◽

10.3390/app10238472 ◽

2020 ◽

Vol 10 (23) ◽

pp. 8472

Author(s):

Ting-Yun Wu ◽

Yun-Zhi Jiang ◽

Yi-Zhu Su ◽

Wei-Chang Yeh

Keyword(s):

Control System ◽

Pid Controller ◽

Fuzzy Theory ◽

Multiple Input Multiple Output ◽

Temperature Control System ◽

Pid Controllers ◽

Swarm Optimization ◽

Pid Tuning ◽

Input Multiple Output ◽

Environment Control

This study proposes the flow and temperature controllers of a cockpit environment control system (ECS) by implementing an optimal simplified swarm optimization (SSO) fuzzy proportional-integral-derivative (PID) control. The ECS model is considered as a multiple-input multiple-output (MIMO) and second-order dynamic system, which is interactive. In this work, we use five methods to design and compare the PID controllers in MATLAB and Simulink, including Ziegler–Nicolas PID tuning, particle swarm optimization (PSO) PID, SSO PID, and the combination of the fuzzy theory with PSO PID and SSO PID, respectively. The main contribution of this study is the pioneering implementation of SSO in a fuzzy PI/PID controller. Moreover, by adding the original gain parameters Kp, Ki, and Kd in the PID controller with delta values, which are calculated by fuzzy logic designer, we can tune the parameters of PID controllers in real time. This makes our control system more accurate, adaptive, and robust.

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Virtual Prototype Modeling and Simulation of Remote Controlled Weapon Station

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.496-500.2643 ◽

2014 ◽

Vol 496-500 ◽

pp. 2643-2646

Author(s):

Jian Huai Tang

Keyword(s):

Control System ◽

Modeling And Simulation ◽

Virtual Prototype ◽

Simulation Software ◽

Dynamics Simulation ◽

Electronic Control ◽

Control Software ◽

Mechanical Parts ◽

Systems And Control ◽

And Control

In order to make the physical characteristics and dynamics of the mechanical parts fully reflected in the control system, and to make the elevating mechanism and traversing mechanisms reliability enhanced, virtual prototype of remote controlled weapon station were established in ADAMS, on the basis of establishing the model of virtual prototype, the prototype were improved with modifying the parameters, And using the interface module of the electronic control software MATLAB and dynamics simulation software ADAMS, the co-simulation of mechanical systems and control system is done, and the motion rules at all levels of transmission system are obtained.

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Programmable Logic Controller (PLC) Based Paint Viscosity Control System

Buletin Ilmiah Sarjana Teknik Elektro ◽

10.12928/biste.v3i1.1109 ◽

2021 ◽

Vol 3 (1) ◽

pp. 1

Author(s):

Gema Ridho Wicaksono ◽

Riky Dwi Puriyanto

Keyword(s):

Quality Control ◽

Control System ◽

Temperature Control ◽

Temperature Control System ◽

System Response ◽

Programmable Logic ◽

Pid Tuning ◽

Temperature Reading ◽

Accuracy Level ◽

And Control

Automatic control has been developed in various fields, one of which is paint quality control. Paint quality can be controlled from various categories, including paint quality based on its viscosity. Therefore, we need a system that can control the viscosity of the paint. The paint viscosity control system uses the PLC OMRON CP1E-NA20DRA with a heater as a heat source, and the LM35DZ sensor as a temperature reading sensor, and the RPM reading is used to calculate the viscosity value. The programming language used is the ladder diagram on the CX-Programmer. This system uses the PID (Proportional, Integral, and Derivative) Algorithm so that temperature control can be set at 30ºC so as not to affect the viscosity of the paint. In addition, this prototype provides two PID tuning options, namely manual and auto-tuning. Researchers get the results that a good temperature control system response has a PB value = 0.2%; Ti = 452.5s and TD = 66.6s. and control the accuracy level of paint viscosity control of 67.82%.

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