Researching on Distributed Coordinated Control Algorithm Based on the Urban Territorial Multi-Intersections

2009 ◽  
Author(s):  
Wei Li ◽  
Li Zhou
Keyword(s):  
Control Algorithm ◽  
Coordinated Control

A novel coordinated control algorithm for distributed driving electric vehicles

2017 ◽  
Vol 50 (4-6) ◽  
pp. 405-421
Author(s):  
Shixin SONG ◽  
Wanchen SUN ◽  
Feng XIAO ◽  
Silun PENG ◽  
Jingyu AN ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Control Algorithm ◽  
Coordinated Control

scholarly journals Model Predictive Control-Based Coordinated Control Algorithm with a Hybrid Energy Storage System to Smooth Wind Power Fluctuations

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4591
Author(s):  
Haisheng Hong ◽  
Quanyuan Jiang
Keyword(s):  
Predictive Control ◽  
Power Output ◽  
Control Algorithm ◽  
Storage System ◽  
Coordinated Control ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Prediction Horizon

Stochastically fluctuating wind power has an escalating impact on the stability of power grid operations. To smooth out short- and long-term fluctuations, this paper presents a coordinated control algorithm using model predictive control (MPC) to manage a hybrid energy storage system (HESS) consisting of ultra-capacitor (UC) and lithium-ion battery (LB) banks. In the HESS-computing period, the algorithm minimizes HESS operating costs in the subsequent prediction horizon by optimizing the time constant of a flexible first-delay filter (FDF) to obtain the UC power output. In the LB-computing period, the algorithm keeps the optimal time constant of the FDF from the previous period to directly obtain the power output of the UC bank to minimize the power output of the LB bank in the next prediction horizon. A relaxation technique is deployed when the problem is unsolvable. Thus, the fluctuation mitigation requirements are fulfilled with a large probability even in extreme conditions. A state-of-charge (SOC) feedback control strategy is proposed to regulate the SOC of the HESS within its proper range. Case studies and quantitative comparisons demonstrate that the proposed MPC-based algorithm uses a lower power rating and storage capacity than other conventional algorithms to satisfy one-minute and 30-min fluctuation mitigation requirements (FMR).

Coordinated control of fuel flow rate and air flow rate of a supersonic heat-airflow simulated test system

2020 ◽  
Vol 124 (1278) ◽  
pp. 1170-1189
Author(s):  
C. Cai ◽  
L. Guo ◽  
J. Liu
Keyword(s):  
Flow Rate ◽  
Control Algorithm ◽  
Air Flow ◽  
Coordinated Control ◽  
Test System ◽  
Gas Temperature ◽  
Air Flow Rate ◽  
Flow Rates ◽  
Fuel Flow ◽  
Simulated Test

ABSTRACTThe gas temperature of the supersonic heat airflow simulated test system is mainly determined by the fuel and air flow rates which enter the system combustor. In order to realise a high-quality control of gas temperature, in addition to maintaining the optimum ratio of fuel and air flow rates, the dynamic characteristics of them in the combustion process are also required to be synchronised. Aiming at the coordinated control problem of fuel and air flow rates, the mathematical models of fuel and air supply subsystems are established, and the characteristics of the systems are analysed. According to the characteristics of the systems and the requirements of coordinated control, a fuzzy-PI cross-coupling coordinated control strategy based on neural sliding mode predictive control is proposed. On this basis, the proposed control algorithm is simulated and experimentally studied. The results show that the proposed control algorithm has good control performance. It cannot only realise the accurate control of fuel flow rate and air flow rate, but also realise the coordinated control of the two.

scholarly journals Gear Shift Coordinated Control Strategy Based on Motor Rotary Velocity Regulation for a Novel Hybrid Electric Vehicle

2021 ◽  
Vol 11 (24) ◽  
pp. 12118
Author(s):  
Qicheng Xue ◽  
Xin Zhang ◽  
Cong Geng ◽  
Teng Teng
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Sliding Friction ◽  
Coordinated Control ◽  
Velocity Control ◽  
Gear Shift ◽  
Shift Quality ◽  
Hybrid Electric

This paper proposes a novel hybrid power system to improve the shift quality of a hybrid electric vehicle (HEV). After selecting a typical shift scheme, the study focused on the motor rotary velocity control algorithm and coordinated control strategy for the motor and clutch. The effects of various control algorithms on different target rotary velocities were analyzed, and a proportional-integral-derivative (PID)–bang-bang–fuzzy compound intelligent algorithm for a motor rotary velocity control system was investigated. In addition, to address the problems of the long synchronizing time required for the rotary velocity and large sliding friction work, which affect the shift quality during the process of engaging the clutch, a coordinated control strategy for the motor rotary velocity and clutch oil pressure was investigated. The research results showed that, compared with a gear shift coordinated control strategy based on a PID control algorithm, the strategy based on the PID–bang-bang–fuzzy compound intelligent control algorithm proposed here reduced the shift time and clutch slipping friction work by 35.7% and 19.2%, respectively.

Object Handling by Coordinated Multiple Mobile Manipulators Without Force/Torque Sensors

2008 ◽  
Vol 20 (3) ◽  
pp. 394-402 ◽  
Author(s):  
Yohei Kume ◽  
◽  
Yasuhisa Hirata ◽  
Kazuhiro Kosuge
Keyword(s):  
Control Algorithm ◽  
Coordinated Control ◽  
Mobile Manipulators ◽  
Single Object ◽  
The Real ◽  
As If ◽  
Parameter Error

The coordinated control algorithm for multiple mobile manipulators without force/torque sensors handling a single object in coordination controls individual mobile manipulators as if the grasping point has impedance dynamics by using the real manipulator’s dynamics. Mobile manipulators handle the object in coordination using the leader-follower control algorithm we propose, based on impedance dynamics. After discussing the effect of parameter error and how to reduce it, we confirm the proposed control algorithm’s feasibility in experiments using two mobile manipulators.

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