An improved rate-monotonic scheduler and a real-time open control platform for robotic control algorithm verification

The verification of new intelligent robotic control algorithm not only requires the correction of computation but also satisfies the timing constraints. In this paper, an open real-time control environment is designed and implemented for robotic control algorithm verification. With Windows NT's...

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Vydáno v:2007 IEEE International Conference on Robotics and Biomimetics s. 318 - 323
Hlavní autoři: Weijun Zhang, Zhicheng Wan, Jianjun Yuan, Zhixia Tang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.12.2007
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ISBN:1424417619, 9781424417612
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Abstract The verification of new intelligent robotic control algorithm not only requires the correction of computation but also satisfies the timing constraints. In this paper, an open real-time control environment is designed and implemented for robotic control algorithm verification. With Windows NT's real time extension RTX, the PC based control system will have good real-time performance for new control algorithm research. The software structure and the task scheduling approach are described in detail and the software comprises of real-time motion control & trajectory planning process, the use's operating interface process and the inter-process communication module. Considering the uncertainty in computation time of complex intelligent algorithms in robotic systems, the running time of the algorithm is monitored online and an improved rate-monotonic scheduler is presented for schedulability verification. To prove the effectiveness of the open real-time control environment and task scheduler, two examples, a direct driven air-bearing stage for IC packaging and a SCARA type robot for assembly, are introduced. The control performance and task scheduling results show that the open real time control environment and new scheduler are successful in complex control algorithm research and timing verification.
AbstractList The verification of new intelligent robotic control algorithm not only requires the correction of computation but also satisfies the timing constraints. In this paper, an open real-time control environment is designed and implemented for robotic control algorithm verification. With Windows NT's real time extension RTX, the PC based control system will have good real-time performance for new control algorithm research. The software structure and the task scheduling approach are described in detail and the software comprises of real-time motion control & trajectory planning process, the use's operating interface process and the inter-process communication module. Considering the uncertainty in computation time of complex intelligent algorithms in robotic systems, the running time of the algorithm is monitored online and an improved rate-monotonic scheduler is presented for schedulability verification. To prove the effectiveness of the open real-time control environment and task scheduler, two examples, a direct driven air-bearing stage for IC packaging and a SCARA type robot for assembly, are introduced. The control performance and task scheduling results show that the open real time control environment and new scheduler are successful in complex control algorithm research and timing verification.
Author Jianjun Yuan
Zhicheng Wan
Weijun Zhang
Zhixia Tang
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  organization: Inst. of Robot., Shanghai Jiaotong Univ., Shanghai
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  surname: Jianjun Yuan
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  organization: Inst. of Robot., Shanghai Jiaotong Univ., Shanghai
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  surname: Zhixia Tang
  fullname: Zhixia Tang
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Snippet The verification of new intelligent robotic control algorithm not only requires the correction of computation but also satisfies the timing constraints. In...
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StartPage 318
SubjectTerms Communication system control
Competitive intelligence
Control Algorithm Verification
Control systems
Intelligent robots
Open Real-time Control
Processor scheduling
Rate-Monotonic Scheduler
Real time systems
Robot control
Robotic assembly
RTX
Scheduling algorithm
Timing
Title An improved rate-monotonic scheduler and a real-time open control platform for robotic control algorithm verification
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