We developed a novel absolute multi-pole encoder structure to improve the resolution of the multi-pole encoder, realize absolute output and reduce the manufacturing cost of the encoder. The structure includes two ring...We developed a novel absolute multi-pole encoder structure to improve the resolution of the multi-pole encoder, realize absolute output and reduce the manufacturing cost of the encoder. The structure includes two ring alnicos defined as index track and sub-division track, respectively. The index track is magnetized based on the improved gray code, with linear halls placed around the track evenly. The outputs of linear halls show the region the rotor belongs to. The sub-division track is magnetized to N-S-N-S (north-south-north-south), and the number of N-S pole pairs is determined by the index track. Three linear hall sensors with an air-gap of 2 mm are used to translate the magnetic filed to voltage signals. The relative offset in a single N-S is obtained through look-up. The magnetic encoder is calibrated using a higher-resolution incremental optical encoder. The pulse output from the optical encoder and hall signals from the magnetic encoder are sampled at the same time and transmitted to a computer, and the relation between them is calculated, and stored in the FLASH of MCU (micro controller unit) for look-up. In the working state, the absolute angle is derived by looking-up with hall signals. The structure is simple and the manufacturing cost is very low and suitable for mass production.展开更多
Unit commitment(UC), as a typical optimization problem in electric power system, faces new challenges as energy saving and emission reduction get more and more important in the way to a more environmentally friendly s...Unit commitment(UC), as a typical optimization problem in electric power system, faces new challenges as energy saving and emission reduction get more and more important in the way to a more environmentally friendly society. To meet these challenges, we propose a UC model considering energy saving and emission reduction. By using real-number coding method, swap-window and hill-climbing operators, we present an improved real-coded genetic algorithm(IRGA) for UC. Compared with other algorithms approach to the proposed UC problem, the IRGA solution shows an improvement in effectiveness and computational time.展开更多
The layout of a sensor network is a critical determinant of the precision and reliability of microseismic source localization.Addressing the impact of sensor network configuration on positioning accuracy,this paper in...The layout of a sensor network is a critical determinant of the precision and reliability of microseismic source localization.Addressing the impact of sensor network configuration on positioning accuracy,this paper introduces an innovative approach to sensor network optimization in underground space.It utilizes the Cramér-Rao Lower Bound principle to formulate an optimization function for the sensor network layout,followed by the deployment of an enhanced genetic encoding to solve this function and determine the optimal layout.The efficacy of proposed method is rigorously tested through simulation experiments and pencil-lead break experiments,substantiating its superiority.Its practical utility is further demonstrated through its application in a mining process within underground spaces,where the optimized sensor network solved by the proposed method achieves remarkable localization accuracy of 15 m with an accuracy rate of 4.22%in on-site blasting experiments.Moreover,the study elucidates general principles for sensor network layout that can inform the strategic placement of sensors in standard monitoring systems.展开更多
基金Funded partly by Heilongjiang Province Financial Fund for Researchers Returning from Abroad
文摘We developed a novel absolute multi-pole encoder structure to improve the resolution of the multi-pole encoder, realize absolute output and reduce the manufacturing cost of the encoder. The structure includes two ring alnicos defined as index track and sub-division track, respectively. The index track is magnetized based on the improved gray code, with linear halls placed around the track evenly. The outputs of linear halls show the region the rotor belongs to. The sub-division track is magnetized to N-S-N-S (north-south-north-south), and the number of N-S pole pairs is determined by the index track. Three linear hall sensors with an air-gap of 2 mm are used to translate the magnetic filed to voltage signals. The relative offset in a single N-S is obtained through look-up. The magnetic encoder is calibrated using a higher-resolution incremental optical encoder. The pulse output from the optical encoder and hall signals from the magnetic encoder are sampled at the same time and transmitted to a computer, and the relation between them is calculated, and stored in the FLASH of MCU (micro controller unit) for look-up. In the working state, the absolute angle is derived by looking-up with hall signals. The structure is simple and the manufacturing cost is very low and suitable for mass production.
基金the National Natural Science Foundation of China(Nos.61004088 and 61374160)
文摘Unit commitment(UC), as a typical optimization problem in electric power system, faces new challenges as energy saving and emission reduction get more and more important in the way to a more environmentally friendly society. To meet these challenges, we propose a UC model considering energy saving and emission reduction. By using real-number coding method, swap-window and hill-climbing operators, we present an improved real-coded genetic algorithm(IRGA) for UC. Compared with other algorithms approach to the proposed UC problem, the IRGA solution shows an improvement in effectiveness and computational time.
基金support provided by the National Natural Science Foundation of China(Grant No.52304123)Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(Grant No.GZB20230914)+3 种基金the 10th Young Talent Lifting Project of the China Association for Science and Technology(No.2024QNRC001)China Postdoctoral Science Foundation(Grant No.2023M730412)Sichuan-Chongqing Science and Technology Innovation Cooperation Program Project(No.CSTB2024TIAD-CYKJCXX0016)National Key Research and Development Program for Young Scientists(Grant No.2021YFC2900400).
文摘The layout of a sensor network is a critical determinant of the precision and reliability of microseismic source localization.Addressing the impact of sensor network configuration on positioning accuracy,this paper introduces an innovative approach to sensor network optimization in underground space.It utilizes the Cramér-Rao Lower Bound principle to formulate an optimization function for the sensor network layout,followed by the deployment of an enhanced genetic encoding to solve this function and determine the optimal layout.The efficacy of proposed method is rigorously tested through simulation experiments and pencil-lead break experiments,substantiating its superiority.Its practical utility is further demonstrated through its application in a mining process within underground spaces,where the optimized sensor network solved by the proposed method achieves remarkable localization accuracy of 15 m with an accuracy rate of 4.22%in on-site blasting experiments.Moreover,the study elucidates general principles for sensor network layout that can inform the strategic placement of sensors in standard monitoring systems.
