scholarly journals Experimenting Sensors Network for Innovative Optimal Control of Car Suspensions

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3062 ◽  
Author(s):  
Gianluca Pepe ◽  
Nicola Roveri ◽  
Antonio Carcaterra
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Real Time ◽  
Sensor Network ◽  
Field Experiments ◽  
Test Bench ◽  
Active Suspensions ◽  
Benchmark Analysis ◽  
Extensive Test ◽  
Magneto Rheological

This paper presents an innovative electronically controlled suspension system installed on a real car and used as a test bench. The proposed setup relies on a sensor network that acquires a large real-time dataset collecting the car vibrations and the car trim and, through a new controller based on a recently proposed theory developed by the authors, makes use of adjustable semi-active magneto-rheological dampers. A BMW series 1 is equipped with such an integrated sensors-controller-actuators device and an extensive test campaign, in real driving conditions, is carried out to evaluate its performance. Thanks to its strategy, the new plant enhances, at once, both comfort and drivability of the car, as field experiments show. A benchmark analysis is performed, comparing the performance of the new control system with the ones of traditional semi-active suspensions, such as skyhook devices: the comparison shows very good results for the proposed solution.

The Bus Dispatching Optimal Control System Based on Real-Time Data Acquisition

2012 ◽  
Vol 195-196 ◽  
pp. 1008-1016 ◽  
Author(s):  
Jian Li
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Data Acquisition ◽  
Real Time ◽  
Time Interval ◽  
Time Data ◽  
Software Module ◽  
Optimal Control System ◽  
Departure Time ◽  
Real Time Data

In this paper, main software module in the subject The Bus Dispatching Optimal Control System Based on Real-time Data Acquisition has been designed. By gradually changing the departure time interval, the system uses SCM to simulate the system running status in various time periods so as to determine the optimal departure time interval, and has established the integrated and optimal scheduling model through the research and development of four functions i.e. data acquisition, remote network monitoring, C/S/S architecture, network access. This article will focus on the design of the main module of software part in the system.

scholarly journals Conceptual design of a generic, real-time, near-optimal control system for water-distribution networks

2007 ◽  
Vol 9 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Derek G Jamieson ◽  
Uri Shamir ◽  
Fernando Martinez ◽  
Marco Franchini
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Real Time ◽  
Time Use ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Hydraulic Simulation ◽  
Current State ◽  
Potential Benefits

This paper is intended to serve as an introduction to the POWADIMA research project, whose objective was to determine the feasibility and efficacy of introducing real-time, near-optimal control for water-distribution networks. With that in mind, its contents include the current state-of-the-art and some of the difficulties that would need to be addressed if the goal of near-optimal control was to be achieved. Subsequently, the approach adopted is outlined, together with the reasons for the choice. Since it would be somewhat impractical to use a conventional hydraulic simulation model for real-time, near-optimal control, the methodology includes replicating the model by an artificial neural network which, computationally, is far more efficient. Thereafter, the latter is embedded in a dynamic genetic algorithm, designed specifically for real-time use. In this way, the near-optimal control settings to meet the current demands and minimize the overall pumping costs up to the operating horizon can be derived. The programme of work undertaken in achieving this end is then described. By way of conclusion, the potential benefits arising from implementing the control system developed are briefly reviewed, as are the possibilities of using the same approach for other application areas.

Fuzzy-Neural Petri Net Distributed Control System Using Hybrid Wireless Sensor Network and CAN Fieldbus

2016 ◽  
Vol 12 (1) ◽  
pp. 54-70
Author(s):  
Ali Abed ◽  
Abduladhem Ali ◽  
Nauman Aslam ◽  
Ali Marhoon
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Distributed Control ◽  
Petri Net ◽  
Wireless Sensor ◽  
Distributed Control System ◽  
Sensor Actuator ◽  
Fuzzy Neural

The reluctance of industry to allow wireless paths to be incorporated in process control loops has limited the potential applications and benefits of wireless systems. The challenge is to maintain the performance of a control loop, which is degraded by slow data rates and delays in a wireless path. To overcome these challenges, this paper presents an application–level design for a wireless sensor/actuator network (WSAN) based on the “automated architecture”. The resulting WSAN system is used in the developing of a wireless distributed control system (WDCS). The implementation of our wireless system involves the building of a wireless sensor network (WSN) for data acquisition and controller area network (CAN) protocol fieldbus system for plant actuation. The sensor/actuator system is controlled by an intelligent digital control algorithm that involves a controller developed with velocity PID-like Fuzzy Neural Petri Net (FNPN) system. This control system satisfies two important real-time requirements: bumpless transfer and anti-windup, which are needed when manual/auto operating aspect is adopted in the system. The intelligent controller is learned by a learning algorithm based on back-propagation. The concept of petri net is used in the development of FNN to get a correlation between the error at the input of the controller and the number of rules of the fuzzy-neural controller leading to a reduction in the number of active rules. The resultant controller is called robust fuzzy neural petri net (RFNPN) controller which is created as a software model developed with MATLAB. The developed concepts were evaluated through simulations as well validated by real-time experiments that used a plant system with a water bath to satisfy a temperature control. The effect of disturbance is also studied to prove the system's robustness.

scholarly journals A Real-Time Embedded Control System for Electro-Fused Magnesia Furnace

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Fang Zheng ◽  
Yang Jie ◽  
Tao Shifei ◽  
Wu Zhiwei ◽  
Chai Tianyou
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Control Strategy ◽  
Field Experiments ◽  
Industrial Process ◽  
Smelting Process ◽  
Embedded Control ◽  
Embedded Control System ◽  
Operation Conditions

Since smelting process of electro-fused magnesia furnace is a complicated process which has characteristics like complex operation conditions, strong nonlinearities, and strong couplings, traditional linear controller cannot control it very well. Advanced intelligent control strategy is a good solution to this kind of industrial process. However, advanced intelligent control strategy always involves huge programming task and hard debugging and maintaining problems. In this paper, a real-time embedded control system is proposed for the process control of electro-fused magnesia furnace based on intelligent control strategy and model-based design technology. As for hardware, an embedded controller based on an industrial Single Board Computer (SBC) is developed to meet industrial field environment demands. As for software, a Linux based on Real-Time Application Interface (RTAI) is used as the real-time kernel of the controller to improve its real-time performance. The embedded software platform is also modified to support generating embedded code automatically from Simulink/Stateflow models. Based on the proposed embedded control system, the intelligent embedded control software of electro-fused magnesium furnace can be directly generated from Simulink/Stateflow models. To validate the effectiveness of the proposed embedded control system, hardware-in-the-loop (HIL) and industrial field experiments are both implemented. Experiments results show that the embedded control system works very well in both laboratory and industry environments.

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