Optimized Policies for Adaptive Control Strategy in Real-Time Traffic Adaptive Control Systems: Implementation and Field Testing

2002 ◽  
Vol 1811 (1) ◽  
pp. 148-156 ◽  
Author(s):  
Nathan H. Gartner ◽  
Farhad J. Pooran ◽  
Christina M. Andrews
Keyword(s):  
Adaptive Control ◽  
Control Systems ◽  
Real Time ◽  
Control Strategy ◽  
Field Testing ◽  
Real Time Traffic ◽  
Systems Implementation ◽  
Adaptive Control Systems ◽  
Adaptive Control Strategy

scholarly journals Real Time Water Detection for Adaptive Control Strategy in Pemfc-systems

2012 ◽  
Vol 29 ◽  
pp. 431-437 ◽  
Author(s):  
Andreas Miege ◽  
Florian Steffen ◽  
Thomas Luschtinetz ◽  
Sven Jakubith ◽  
Maik Freitag
Keyword(s):  
Adaptive Control ◽  
Real Time ◽  
Control Strategy ◽  
Water Detection ◽  
Adaptive Control Strategy

Remote Simulation to Evaluate Real-Time Traffic Control Strategies

2000 ◽  
Vol 1727 (1) ◽  
pp. 95-100 ◽  
Author(s):  
David E. Lucas ◽  
Pitu B. Mirchandani ◽  
K. Larry Head
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Control Systems ◽  
Real Time ◽  
Traffic Control ◽  
Control Strategies ◽  
Remote Access ◽  
Hardware In The Loop ◽  
Simulation Environment ◽  
Real Time Traffic

Simulation is a valuable tool for evaluating the effects of various changes in a transportation system. This is especially true in the case of real-time traffic-adaptive control systems, which must undergo extensive testing in a laboratory setting before being implemented in a field environment. Various types of simulation environments are available, from software-only to hardware-in-the-loop simulations, each of which has a role to play in the implementation of a traffic control system. The RHODES (real-time hierarchical optimized distributed effective system) real-time traffic-adaptive control system was followed as it progressed from a laboratory project toward actual field implementation. The traditional software-only simulation environment and extensions to a hardware-in-the-loop simulation are presented in describing the migration of RHODES onto the traffic controller hardware itself. In addition, a new enhancement to the standard software-only simulation that allows remote access is described. The enhancement removes the requirement that both the simulation and the traffic control scheme reside locally. This architecture is capable of supporting any traffic simulation package that satisfies specific input-output data requirements. This remote simulation environment was tested with several different types of networks and was found to perform in the same manner as its local counterpart. Remote simulation has all of the advantages of its local counterpart, such as control and flexibility, with the added benefit of distribution. This remote environment could be used in many different ways and by different groups or individuals, including state or local transportation agencies interested in performing their own evaluations of alternative traffic control systems.

Model Reference Adaptive Motion Control Research of Servo Press

2014 ◽  
Vol 532 ◽  
pp. 212-217
Author(s):  
Juan Zhang ◽  
Xing Song Wang
Keyword(s):  
Adaptive Control ◽  
Real Time ◽  
Control Strategy ◽  
Pid Control ◽  
Position Control ◽  
Model Reference Adaptive Control ◽  
Model Reference ◽  
Servo Press ◽  
Adaptive Control Strategy ◽  
Model Reference Adaptive

Servo press is a new developing trend in forming equipment. In order to improve the position control accuracy, the movement rule of crank press slide block is analyzed. In view of the servo press poison PID control algorithm parameters cant realize real-time adjustment, model reference adaptive control strategy is presented, and a real-time control experiment platform is established in xPC target environment based on MATLAB RTW. The experiment results shows that the model reference adaptive control strategy is of higher accuracy and better robustness than the PID control strategy.

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