scholarly journals Decoupling Suspension Controller Based on Magnetic Flux Feedback

2013 ◽  
Vol 709 ◽  
pp. 462-469 ◽  
Author(s):  
Wen Qing Zhang ◽  
Jie Li ◽  
Kun Zhang ◽  
Peng Cui
Keyword(s):  
Control System ◽  
Magnetic Flux ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
State Feedback ◽  
Magnetic Suspension ◽  
System Model ◽  
Suspension Control ◽  
Control System Model ◽  
And Control

Based on MIMO state feedback linearization, the suspension module control system model had been established, and it completed decoupling between double suspension points. Double-suspension system model is very accuracy for investigating stability property and control algorithm of suspension control system. When magnetic flux signal is taken back to control system, suspension modules antijamming characteristics for resisting suspension load variety and external force interference has been enhanced. Some experiments had been done on CMS04 magnetic suspension vehicle in national mid-low speed maglev experiment field of Tangshan city in China. Therefore, the stable property of double-electromagnet suspension control system has been enhanced.

scholarly journals Decoupling Suspension Controller Based on Magnetic Flux Feedback

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Wenqing Zhang ◽  
Jie Li ◽  
Kun Zhang ◽  
Peng Cui
Keyword(s):  
Control System ◽  
Magnetic Flux ◽  
Feedback Linearization ◽  
Magnetic Suspension ◽  
System Model ◽  
Decoupling Method ◽  
Output State ◽  
Suspension Control ◽  
Multiple Input ◽  
Control System Model

The suspension module control system model has been established based on MIMO (multiple input and multiple output) state feedback linearization. We have completed decoupling between double suspension points, and the new decoupling method has been applied to CMS04 magnetic suspension vehicle in national mid-low-speed maglev experiment field of Tangshan city in China. Double suspension system model is very accurate for investigating stability property of maglev control system. When magnetic flux signal is taken back to the suspension control system, the suspension module’s antijamming capacity for resisting suspension load variety has been proved. Also, the external force interference has been enhanced. As a result, the robustness and stability properties of double-electromagnet suspension control system have been enhanced.

scholarly journals Design of Magnetic Flux Feedback Controller in Hybrid Suspension System

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Wenqing Zhang ◽  
Jie Li ◽  
Kun Zhang ◽  
Peng Cui
Keyword(s):  
Magnetic Flux ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
Suspension System ◽  
Magnetic Suspension ◽  
Magnetic Flux Density ◽  
Stable Suspension ◽  
State Variable ◽  
Suspension Control ◽  
National University

Hybrid suspension system with permanent magnet and electromagnet consumes little power consumption and can realize larger suspension gap. But realizing stable suspension of hybrid magnet is a tricky problem in the suspension control sphere. Considering from this point, we take magnetic flux signal as a state variable and put this signal back to suspension control system. So we can get the hybrid suspension mathematical model based on magnetic flux signal feedback. By application of MIMO feedback linearization theory, we can further realize linearization of the hybrid suspension system. And then proportion, integral, differentiation, magnetic flux density B (PIDB) controller is designed. Some hybrid suspension experiments have been done on CMS04 magnetic suspension bogie of National University of Defense Technology (NUDT) in China. The experiments denote that the new hybrid suspension control algorithm based on magnetic flux signal feedback designed in this paper has more advantages than traditional position-current double cascade control algorithm. Obviously, the robustness and stability of hybrid suspension system have been enhanced.

Application of Magnetic Flux Feedback Control in Hybrid Suspension System

2013 ◽  
Vol 709 ◽  
pp. 273-280
Author(s):  
Wen Qing Zhang ◽  
Jie Li ◽  
Kun Zhang ◽  
Peng Cui
Keyword(s):  
Magnetic Flux ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
Suspension System ◽  
Magnetic Suspension ◽  
Magnetic Flux Density ◽  
State Variable ◽  
Suspension Control ◽  
Defense Technology ◽  
National University

Hybrid suspension system with permanent-magnet and electromagnet consumes little power consumption, and can realize larger suspension gap. We took magnetic flux signal as a state variable, and put this signal back to suspension control system. So we got the hybrid suspension mathematical model based on magnetic flux signal feedback. With application of MIMO feedback linearization theory, we can realize linearization of the hybrid suspension system. Then PIDB (proportion, integral, differentiation, magnetic flux density B) controller was designed. Some hybrid suspension experiments had been done on CMS04 magnetic suspension bogie of NUDT (National University of Defense Technology) in China. The experiment results denote that hybrid suspension control algorithm based on magnetic flux signal feedback designed has more advantages than traditional position-current double cascade control algorithm. Obviously the robustness and stability of hybrid suspension system have been enhanced.

scholarly journals Analysis of the bioethanol production process control

2020 ◽  
Vol 154 ◽  
pp. 02009
Author(s):  
Stanisław Lis ◽  
Marcin Tomasik ◽  
Sławomir Kurpaska ◽  
Jarosław Knaga ◽  
Piotr Łyszczarz
Keyword(s):  
Control System ◽  
Production Process ◽  
Control Algorithm ◽  
Feedback Loop ◽  
General Concept ◽  
System Model ◽  
Bioethanol Production ◽  
Correct Operation ◽  
Object A ◽  
Control System Model

The article presents the analysis of the automatic control of the bioethanol production process intended for biofuel. It presents the formulated general concept of the system and the method of designing a closed control system based on the iterative prototyping procedure. The modeling and the simulation were carried out in the Matlab®-Simulink environment. The simulation model of the object was developed based on the experimentally registered characteristics. It has been adjusted, i.e. the compatibility of its behavior with the object it reproduces has been confirmed. Based on the tuned model of the object, a control system model was created, which was the basis for computer simulation which enabled the control algorithm parameters to be established. The final verification of the correct operation of the system was performed with the use of hardware simulation. It was based on entering a negative feedback loop of the virtual control system of the real object elements into the loop. The results of the simulation confirmed the correctness of the adopted design.

Fault Diagnosis for Suspension Signal of Maglev Vehicle Based on Mathematical Model

2012 ◽  
Vol 190-191 ◽  
pp. 987-992 ◽  
Author(s):  
Ying Pu Cui ◽  
Long Hua She ◽  
Xiao Long Li ◽  
A Ming Hao
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Fault Diagnosis ◽  
System Model ◽  
Maglev Vehicle ◽  
Suspension Control ◽  
Diagnosis Method ◽  
Real Value ◽  
Control System Model

Firstly, build the suspension-control-system model under the condition of elastic guideway, and design the controller. Secondly, design the Kalman forecaster based on model, and diagnose the fault by comparing forecasted value with real value. Finally, verify the effectiveness of this fault diagnosis method for suspension signal by simulation.

Stabilization of a Steer-by-Wire Vehicle at the Limits of Handling Using Feedback Linearization

2005 ◽  
Author(s):  
Yung-Hsiang (Judy) Hsu ◽  
J. Christian Gerdes
Keyword(s):  
Control System ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
State Feedback ◽  
Threshold Value ◽  
Lateral Force ◽  
Tire Force ◽  
Operating Region ◽  
Steer By Wire ◽  
Potential Benefits

As a vehicle approaches the limits of handling (the operating region defined by the peak lateral tire force), the vehicle response may be oscillatory or unstable. This paper develops a control system to allow the driver to approach the limits of handling safely. The control algorithm uses a new method that applies recent advances in vehicle sensing to estimate tire cornering stiffness and coefficient of friction in real-time. The controller employs state feedback linearization to cancel nonlinearities in the system using steer-by-wire steering inputs. Once the lateral force surpasses a threshold value, the driver steering input is saturated to keep the vehicle in the linearizable handling region and to alert the driver of approaching limits. Simulation results and preliminary experimental work performed on a steer-by-wire research vehicle demonstrate the potential benefits of this control system.

Control Algorithm Design for Large Boiler Dosing System

2013 ◽  
Vol 443 ◽  
pp. 322-328
Author(s):  
Shu Juan Fu ◽  
Hui Zhao ◽  
Jie Li
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Ph Value ◽  
Algorithm Design ◽  
System Model ◽  
System Control ◽  
Steam Boilers ◽  
Control System Model ◽  
Steam System ◽  
Mathematics Method

This article uses the mathematics method to study in view of boiler zero pollution discharge automatic dosing control and other aspects during the dosing control system model parameter is a variable instead of a constant. If the solution density changes, the object characteristic also along with the change, When the system load will change, can cause for the discharge of water changes, examines the PH value also can change along with it, will cause the controlled member model also correspondingly to change. Because the steam system heat supply pipeline has grown, a successful Canadian medicine circulation needs several minute perhaps several dozens minutes, overall system existence serious lag flaw. In view of the above, we used DDCSRD 3211B dosing system control system to eliminate hysteresis to ensure proper, efficient, energy-saving operation of steam boilers. Zero-effluent dosing system from steam to prevent pollution at the source, the boiler system to environmental decline in the discharge of sewage to zero or close to zero.[

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