Control of Catalytic Divided Wall Column

2011 ◽  
Vol 225-226 ◽  
pp. 496-499 ◽  
Author(s):  
Lan Yi Sun ◽  
Cai Xia Qi ◽  
Jun Li ◽  
Qing Song Li
Keyword(s):  
Control Strategy ◽  
Methyl Acetate ◽  
Control Structure ◽  
Pi Control ◽  
Control Performance ◽  
Control Scheme ◽  
Divided Wall Column ◽  
Control Configuration ◽  
Hydrolysis Of

A control strategy which is based on the Catalytic Divided Wall Column (CDWC) for hydrolysis of methyl acetate (MeAc) is studied and a feasible control structure is obtained. The manipulated variables and controlled variables are selected and paired. Two kinds of disturbances are employed to test this control configuration and the result shows that a simple PI control scheme with three temperature loops can obtain reasonable control performance and maintains the desired purity of two products and stoichiometric balance between reactants.

Design of Catalytic Divided Wall Column

2011 ◽  
Vol 219-220 ◽  
pp. 1589-1592 ◽  
Author(s):  
Lan Yi Sun ◽  
Cai Xia Qi ◽  
Jun Li ◽  
Qing Song Li
Keyword(s):  
Energy Consumption ◽  
Methyl Acetate ◽  
Reflux Ratio ◽  
Split Ratio ◽  
Divided Wall Column ◽  
New Process ◽  
Save Energy ◽  
Hydrolysis Of

The Catalytic Divided Wall Column (CDWC) for hydrolysis of methyl acetate (MeAc) is designed and optimized. Distillate rate and side rate of CDWC are used to maintain the desired product purities, and the minimum reboiler duty is obtained by changing the reflux ratio and vapor split ratio. The result shows that the new process can save energy consumption by 20.1%.

scholarly journals Bleed Air Temperature Regulation System: Modeling, Control, and Simulation

2021 ◽  
Author(s):  
Peter Hodal
Keyword(s):  
Heat Exchanger ◽  
Temperature Control ◽  
Control Strategy ◽  
Temperature Regulation ◽  
Control Method ◽  
System Modeling ◽  
Regulation System ◽  
Pi Control ◽  
Air System ◽  
Control Configuration

This thesis addresses temperature control of an engine bleed air system, as used on typical aircraft, with a control strategy aimed at reducing ram air usage while maintaining fast response. The analytical equations describing the system dynamics are presented, and a state space model of a cross-flow heat exchanger is developed. The heat exchanger model is then utilized in the modeling of the bleed air system under study. Different control strategies and configurations are analyzed and compared. In order to achieve fast temperature regulation while saving ram air usage, a ram-air-plus-bypass control configuration is proposed, along with the control of both load temperature and bypass valve opening. Classical PI control is employed, and a hybrid LQ/PI control method is additionally investigated for the proposed control configuration. Simulations for each control strategy are performed using a nonlinear dynamic model at several sample mission operating points, with consideration of disturbances in engine loading of ambient conditions. Comparisons are made and conclusions are drawn based on these simulations. The proposed configuration and control strategy prove to be more effective in terms of satisfying both low ram air usage and fast temperature control response.

scholarly journals Multi-Objective Intelligent Optimization of Superheated Steam Temperature Control Based on Cascaded Disturbance Observer

2020 ◽  
Vol 12 (19) ◽  
pp. 8235
Author(s):  
Yong-Sheng Hao ◽  
Zhuo Chen ◽  
Li Sun ◽  
Junyu Liang ◽  
Hongxia Zhu
Keyword(s):  
Control Strategy ◽  
Disturbance Observer ◽  
Power Plants ◽  
Superheated Steam ◽  
Critical Parameters ◽  
Pi Control ◽  
Control Performance ◽  
Steam Temperature ◽  
Multi Objective ◽  
Superheated Steam Temperature

Superheated steam temperature (SST) is one of the most critical parameters for the process safety, overall efficiency and pollution reduction of coal-fired power plants. However, SST control is challenging due to various disturbances and model uncertainties, especially in the face of the growing penetration of intermittent renewable energy into the power grid. To this end, a cascaded Disturbance Observer-PI (DOB-PI) control strategy is proposed to enhance control performance. The observer design and parameter tuning are carried out through mechanism analysis on the proposed structure. Furthermore, a robust loop shaping method is introduced as a hard constraint to balance the control performance and robustness. The controller parameters are optimized based on the multi-objective artificial bee colony optimization (MOABC) algorithm. Simulation results show that the proposed cascaded DOB-PI control strategy can significantly improve the disturbance rejection performance of both the inner- and outer-loops of the SST control system. This paper indicates promising prospects for the proposed method in future applications.

scholarly journals Bleed Air Temperature Regulation System: Modeling, Control, and Simulation

2021 ◽  
Author(s):  
Peter Hodal
Keyword(s):  
Heat Exchanger ◽  
Temperature Control ◽  
Control Strategy ◽  
Temperature Regulation ◽  
Control Method ◽  
System Modeling ◽  
Regulation System ◽  
Pi Control ◽  
Air System ◽  
Control Configuration

This thesis addresses temperature control of an engine bleed air system, as used on typical aircraft, with a control strategy aimed at reducing ram air usage while maintaining fast response. The analytical equations describing the system dynamics are presented, and a state space model of a cross-flow heat exchanger is developed. The heat exchanger model is then utilized in the modeling of the bleed air system under study. Different control strategies and configurations are analyzed and compared. In order to achieve fast temperature regulation while saving ram air usage, a ram-air-plus-bypass control configuration is proposed, along with the control of both load temperature and bypass valve opening. Classical PI control is employed, and a hybrid LQ/PI control method is additionally investigated for the proposed control configuration. Simulations for each control strategy are performed using a nonlinear dynamic model at several sample mission operating points, with consideration of disturbances in engine loading of ambient conditions. Comparisons are made and conclusions are drawn based on these simulations. The proposed configuration and control strategy prove to be more effective in terms of satisfying both low ram air usage and fast temperature control response.

Practical Strategies for Controlling Railway Wheelsets Independently Rotating Wheels

2003 ◽  
Vol 125 (3) ◽  
pp. 354-360 ◽  
Author(s):  
T. X. Mei ◽  
R. M. Goodall
Keyword(s):  
Control Strategy ◽  
Ride Comfort ◽  
Control Structure ◽  
The Body ◽  
Vehicle Speed ◽  
Control Scheme ◽  
Curving Performance ◽  
Rail Deflection ◽  
Optimal Control Scheme ◽  
Active Control Strategy

This paper presents the development of an active control strategy for railway vehicles with independently rotating wheels. The proposed control scheme is intuitively formulated with a simple control structure and adaptive to vehicle speed. It does not require basic guidance measurements (e.g., wheel-rail deflection and angle of attack) that are expensive and impractical to implement. Speed sensors are used to measure the relative rotational speed of the two wheels on a same axle and sensors are also used to measure the relative yaw velocity of the wheelset and the body it is connected. Both curving performance and passenger ride comfort of the actively controlled vehicle are compared with that of a typical passive vehicle and an optimal control scheme.

Distributed event-triggered mechanism for secondary voltage control with microgrids

2018 ◽  
Vol 41 (6) ◽  
pp. 1553-1561 ◽  
Author(s):  
Jing Shi ◽  
Dong Yue ◽  
Shengxuan Weng
Keyword(s):  
Control Strategy ◽  
Voltage Control ◽  
Control Performance ◽  
Practical Application ◽  
Limited Bandwidth ◽  
Distributed Generators ◽  
Control Scheme ◽  
Secondary Voltage ◽  
Simulation Results ◽  
Event Triggered

This paper presents a secondary voltage control scheme with a distributed event-triggered mechanism for multiple distributed generators in droop-controlled microgrids. First, considering the issue of limited bandwidth of a communication network in a practical application, two types of distributed event-triggered mechanisms are proposed to reduce the information transmission pressure, while preserving the desired control performance. Then, based on the proposed triggering schemes, distributed secondary controllers are designed for distributed generators. Finally, simulation results demonstrate that by using the control strategy, the voltages of distributed generators are synchronised to their nominal values.

Study on Electric Differential Control Scheme for Electric Vehicles

2013 ◽  
Vol 648 ◽  
pp. 348-352 ◽  
Author(s):  
Hong Song ◽  
Xiao Long Huang
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Slip Rate ◽  
Fast Response ◽  
Control Performance ◽  
Pavement Condition ◽  
Time Performance ◽  
Control Scheme ◽  
Strong Robustness ◽  
Differential Control

In order to improve control performance of the electric vehicles independent motor driven wheel steering , using the Ackerman angle relation to design electronic differential system of electric vehicles based on DSP2407 . This control strategy considering various pavement condition and slip rate, will be able to realize the electric vehicles in the complex road conditions, and have fast response requirements. Electronic differential controller of electric vehicles based on DSP2407 can deal with between speed of body and Angle of the nonlinear relationship effectively, when steering operation, is about to drive wheel with input different torque, realized the good adaptive differential, and has advantages of good real-time performance and strong robustness etc.

scholarly journals Robust Quadrotor Control through Reinforcement Learning with Disturbance Compensation

2021 ◽  
Vol 11 (7) ◽  
pp. 3257
Author(s):  
Chen-Huan Pi ◽  
Wei-Yuan Ye ◽  
Stone Cheng
Keyword(s):  
Neural Network ◽  
Reinforcement Learning ◽  
Control Strategy ◽  
External Disturbance ◽  
Control Agent ◽  
Network Control ◽  
Outdoor Environment ◽  
Disturbance Compensation ◽  
Tracking Accuracy ◽  
Control Scheme

In this paper, a novel control strategy is presented for reinforcement learning with disturbance compensation to solve the problem of quadrotor positioning under external disturbance. The proposed control scheme applies a trained neural-network-based reinforcement learning agent to control the quadrotor, and its output is directly mapped to four actuators in an end-to-end manner. The proposed control scheme constructs a disturbance observer to estimate the external forces exerted on the three axes of the quadrotor, such as wind gusts in an outdoor environment. By introducing an interference compensator into the neural network control agent, the tracking accuracy and robustness were significantly increased in indoor and outdoor experiments. The experimental results indicate that the proposed control strategy is highly robust to external disturbances. In the experiments, compensation improved control accuracy and reduced positioning error by 75%. To the best of our knowledge, this study is the first to achieve quadrotor positioning control through low-level reinforcement learning by using a global positioning system in an outdoor environment.

scholarly journals A Study on Vision-Based Backstepping Control for a Target Tracking System

Actuators ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 105
Author(s):  
Thinh Huynh ◽  
Minh-Thien Tran ◽  
Dong-Hun Lee ◽  
Soumayya Chakir ◽  
Young-Bok Kim
Keyword(s):  
Control System ◽  
Visual Servoing ◽  
Tracking System ◽  
Experimental Studies ◽  
Imaging Geometry ◽  
Control Scheme ◽  
Decoupled Control ◽  
Control Configuration ◽  
A New Technique ◽  
Pointing Control

This paper proposes a new method to control the pose of a camera mounted on a two-axis gimbal system for visual servoing applications. In these applications, the camera should be stable while its line-of-sight points at a target located within the camera’s field of view. One of the most challenging aspects of these systems is the coupling in the gimbal kinematics as well as the imaging geometry. Such factors must be considered in the control system design process to achieve better control performances. The novelty of this study is that the couplings in both mechanism’s kinematics and imaging geometry are decoupled simultaneously by a new technique, so popular control methods can be easily implemented, and good tracking performances are obtained. The proposed control configuration includes a calculation of the gimbal’s desired motion taking into account the coupling influence, and a control law derived by the backstepping procedure. Simulation and experimental studies were conducted, and their results validate the efficiency of the proposed control system. Moreover, comparison studies are conducted between the proposed control scheme, the image-based pointing control, and the decoupled control. This proves the superiority of the proposed approach that requires fewer measurements and results in smoother transient responses.

A multi-objective operation strategy optimization for ice storage systems based on decentralized control structure

2020 ◽  
Vol 42 (1) ◽  
pp. 62-81
Author(s):  
Yanhuan Ren ◽  
Junqi Yu ◽  
Anjun Zhao ◽  
Wenqiang Jing ◽  
Tong Ran ◽  
...  
Keyword(s):  
Energy Saving ◽  
Decentralized Control ◽  
Optimization Algorithm ◽  
Control Strategy ◽  
Load Distribution ◽  
Air Conditioning ◽  
Control Structure ◽  
Ice Storage ◽  
Swarm Optimization ◽  
Multi Objective

Improving the operational efficiency of chillers and science-based planning the cooling load distribution between the chillers and ice tank are core issues to achieve low-cost and energy-saving operations of ice storage air-conditioning systems. In view of the problems existing in centralized control architecture applied in heating, ventilation, and air conditioning, a distributed multi-objective particle swarm optimization improved by differential evolution algorithm based on a decentralized control structure was proposed. The energy consumption, operating cost, and energy loss were taken as the objectives to solve the chiller’s hourly partial load ratio and the cooling ratio of ice tank. A large-scale shopping mall in Xi’an was used as a case study. The results show that the proposed algorithm was efficient and provided significantly higher energy-savings than the traditional control strategy and particle swarm optimization algorithm, which has the advantages of good convergence, high stability, strong robustness, and high accuracy. Practical application: The end equipment of the electromechanical system is the basic component through the building operation. Based on this characteristic, taken electromechanical equipment as the computing unit, this paper proposes a distributed multi-objective optimization control strategy. In order to fully explore the economic and energy-saving effect of ice storage system, the optimization algorithm solves the chillers operation status and the load distribution. The improved optimization algorithm ensures the diversity of particles, gains fast optimization speed and higher accuracy, and also provides a better economic and energy-saving operation strategy for ice storage air-conditioning projects.

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