研究目的
To improve the electron beam efficiency of space traveling-wave tubes (STWT) by optimizing the slow-wave structure using a novel CI-NMCSO algorithm that considers variable helix section length and pitch distribution.
研究成果
The CI-NMCSO algorithm significantly improves electron beam efficiency, convergence speed, and output parameters (power, gain, bandwidth) compared to CMCSO and QPSO. It demonstrates the importance of optimizing both pitch distribution and helix section length for enhanced STWT performance, with potential applications in other electronic and communication problems.
研究不足
The study is simulation-based and may not account for all practical manufacturing constraints. The optimization is specific to STWT slow-wave structures and may not generalize to other devices. The algorithms have randomness, requiring multiple runs for reliable results.
1：Experimental Design and Method Selection:
The study employs the CI-NMCSO algorithm combined with the 1D CHRISTINE code for simulation. The algorithm is designed to optimize pitch distribution and helix section length to maximize electron beam efficiency. Comparisons are made with QPSO and CMCSO algorithms.
2：Sample Selection and Data Sources:
The slow-wave structure of an STWT with a total length of 100 mm divided into 10 sections is used. Parameters such as pitch values (0.7–0.9 mm) and section lengths are optimized.
3：7–9 mm) and section lengths are optimized.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Hardware includes an Intel Core i7 8700 CPU, 8GB RAM, Windows 10 OS, and MATLAB 2016a software. The 1D CHRISTINE code is used for calculations.
4：Experimental Procedures and Operational Workflow:
Initialization of algorithm parameters, mode distribution (seeking and tracing modes), chaos transformation, and iterative optimization until convergence or maximum iterations (100) are reached. Fitness is evaluated using electron beam efficiency calculated by 1D CHRISTINE.
5：Data Analysis Methods:
Performance is assessed based on electron beam efficiency, convergence speed, output power, gain, and bandwidth. Statistical comparisons are made between CI-NMCSO, CMCSO, and QPSO results.
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