Predictive supervisory control strategy for parallel HEVs using former velocity trajectories

2011 ◽  
Author(s):  
O. Cassebaum ◽  
B. Baker
Keyword(s):  
Control Strategy ◽  
Supervisory Control

Development of PROTON Electric Vehicle Control Unit (eVCU) Using State Machine Deterministic Rule-Based Approach

2014 ◽  
Vol 663 ◽  
pp. 532-538
Author(s):  
Nor Aziah Mohd Azubir ◽  
Mohd. Khair Hassan ◽  
Hairi Zamzuri ◽  
Saiful Amri Mazlan
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Supervisory Control ◽  
World View ◽  
Control Unit ◽  
State Machine ◽  
Optimum Level ◽  
Rule Based ◽  
High Level ◽  
Power And Energy

There are many types of Electric Vehicle (EV) applied in automotive industry. It can be hybridization or electrification vehicle. Battery Electric Vehicle (BEV) also called as fully electric vehicle using batteries as the only source and an electric motor as a traction motor to move the vehicle. In a world view of BEV, it is still has circumstances that would strand the BEV to have huge commercialization due to range anxiety. This paper is discussing about an electrification vehicle power and energy management (PEM) strategy. PEM strategy has two layer control strategies that consist of low level component control and high level supervisory control. Management and control strategy in BEV is carefully designed due to heavy loads consumption from Propulsion Electrical Load (PEL) and Non Propulsion Electrical Loads (NoPEL) with a single energy source. This is to ensure that power and energy is managed at optimum level that will give some extension of wider kilometer of the vehicle. The BEV performance is typically controlled by high level supervisory control algorithm using event-based condition using state machine deterministic rule-based method. More than one drive mode to be determined in this paper as part of control strategy to get an optimal PEM performance.

Robust Control of a Laboratory Hydraulic Canal by Using a Fractional PI Controller

2007 ◽  
Author(s):  
Luis Sa´nchez Rodri´guez ◽  
Vicente Feliu Batlle ◽  
Rau´l Rivas Pe´rez ◽  
Miguel A´ngel Rui´z Torija
Keyword(s):  
Fractional Order ◽  
Control Strategy ◽  
Supervisory Control ◽  
Pi Controller ◽  
Time Varying ◽  
Fractional Order Control ◽  
Supervision System ◽  
Dynamical Parameters ◽  
Fractional Order Pi Controller ◽  
Fractional Controller

A fractional order control strategy has been implemented in an automated laboratory hydraulic canal characterized to present time-varying dynamical parameters. A method for tuning a fractional order PI controller that makes the hydraulic canal control system robust to process parameters variations has been proposed too. Experiments have been carried out in our laboratory hydraulic canal, and the fractional controller has been implemented in an industrial SCADA (Supervisory Control And Data Acquisition) control and supervision system. The comparison between the response of our fractional PI controller and the standard PI controller proved the effectiveness of the proposed fractional order control strategy in terms of performance and robustness.

DEVELOPMENT OF A SUPERVISORY CONTROL STRATEGY FOR THE OPTIMAL OPERATION OF GRAIN DRYERS

1998 ◽  
Vol 16 (9-10) ◽  
pp. 2017-2031 ◽  
Author(s):  
L. G. S. Vasconcelos ◽  
R. Maciel Filho
Keyword(s):  
Control Strategy ◽  
Supervisory Control ◽  
Optimal Operation

scholarly journals An Enhanced Supervisory Control Strategy for Periodicity Mutual Exclusions in Discrete Event Systems Based on Petri Nets

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Zhongyuan Jiang ◽  
Huan Wang ◽  
Xiaoliang Chen ◽  
Mingwei Tang ◽  
Jianhong Ye
Keyword(s):  
Control Strategy ◽  
Supervisory Control ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Mutual Exclusion ◽  
The Other ◽  
Structural Conversion ◽  
Event Systems ◽  
Common Resource ◽  
The Common

Mutual exclusion problems widely exist in discrete event systems in which several processes will compete for the common resource for maintaining their normal running. This competition is mutually exclusive. However, a special behavior, that is, periodic mutual exclusion behavior, is important for many discrete event systems. Once a process obtains the common resource, it will consecutively obtain the common resource in the following several competitions. The other processes should wait for the release of the common resource. All processes will compete for the common resource again after the common resource is released. These competitions have obvious periodicity. In this paper, a methodology is proposed to design periodic mutual exclusion supervisors to control the periodic mutual exclusion behavior in discrete event systems. Moreover, two original structural conversion concepts, calledk-derivation andk-convergence processes, are proposed to construct the periodic mutual exclusion supervisors. The discussion results show that many undesirable execution sequences are forbidden since the periodic mutual exclusion behavior is controlled by the proposed periodic mutual exclusion supervisors. Finally, an example is used to illustrate the proposed methodology.

Equivalent fuel consumption optimal control of a series hybrid electric vehicle

2009 ◽  
Vol 223 (8) ◽  
pp. 1003-1018 ◽  
Author(s):  
J-P Gao ◽  
G-M G Zhu ◽  
E G Strangas ◽  
F-C Sun
Keyword(s):  
Optimal Control ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Supervisory Control ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Optimal Control Strategy ◽  
Equivalent Fuel ◽  
Hybrid Electric ◽  
Equivalent Fuel Consumption

Improvements in hybrid electric vehicle fuel economy with reduced emissions strongly depend on their supervisory control strategy. In order to develop an efficient real-time supervisory control strategy for a series hybrid electric bus, the proposed equivalent fuel consumption optimal control strategy is compared with two popular strategies, thermostat and power follower, using backward simulations in ADVISOR. For given driving cycles, global optimal solutions were also obtained using dynamic programming to provide an optimization target for comparison purposes. Comparison simulations showed that the thermostat control strategy optimizes the operation of the internal combustion engine and the power follower control strategy minimizes the battery charging and discharging operations which, hence, reduces battery power loss and extends the battery life. The equivalent fuel consumption optimal control strategy proposed in this paper provides an overall system optimization between the internal combustion engine and battery efficiencies, leading to the best fuel economy.

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