进行一些适配性UI修改
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@@ -1,3 +1,38 @@
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"""
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================================================================================
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自动控制原理AI+数智平台 (Automatic Control Theory AI+ Platform)
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================================================================================
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版权声明 (Copyright Notice):
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本项目由"西北工业大学2025年校级本科生建设项目"资助
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Funded by Northwestern Polytechnical University 2025 Undergraduate
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Construction Project
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项目信息 (Project Information):
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课程名称:《自动控制理论》
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Course: Automatic Control Theory
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负责人:魏鹏飞
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Supervisor: Wei Pengfei
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联系方式:pengfeiwei@nwpu.edu.cn
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Email: pengfeiwei@nwpu.edu.cn
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机构:西北工业大学
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Institution: Northwestern Polytechnical University (NWPU)
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功能简介 (Features):
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- 时域分析:阶跃响应、脉冲响应、性能指标计算
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- 频域分析:Bode图、Nyquist图、稳定裕度分析
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- 根轨迹分析:动态轨迹绘制、增益调节、极点跟踪
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- AI智能问答:基于DeepSeek/Gemini的专业教学助手
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最后更新 (Last Updated): 2025-10-16
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版本 (Version): 1.0.0
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================================================================================
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"""
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import gradio as gr
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import numpy as np
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import control as ct
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@@ -477,6 +512,20 @@ with gr.Blocks(title="自动控制原理学习网站", css=custom_css) as demo:
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gr.Markdown("<h1 class='main-title'> 自动控制原理AI+数智平台</h1>")
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gr.Markdown("<p class='subtitle'>交互式控制系统分析与设计工具 | 时域·频域·根轨迹·AI问答</p>")
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# 项目信息和版权声明
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gr.HTML("""
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<div style='text-align: center; padding: 10px; background: linear-gradient(135deg, #f5f7fa 0%, #e8eaf6 100%); border-radius: 8px; margin-bottom: 20px; font-size: 0.9em;'>
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<p style='margin: 5px 0; color: #555;'>
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<strong>📚 课程:</strong>《自动控制理论》 |
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<strong>👨🏫 负责人:</strong>魏鹏飞 |
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<strong>📧 联系:</strong><a href='mailto:pengfeiwei@nwpu.edu.cn' style='color: #667eea; text-decoration: none;'>pengfeiwei@nwpu.edu.cn</a>
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</p>
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<p style='margin: 5px 0; color: #666; font-size: 0.85em;'>
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🎓 西北工业大学2025年校级本科生建设项目资助 | Northwestern Polytechnical University
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</p>
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</div>
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""")
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with gr.Tabs() as tabs:
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with gr.TabItem("时域分析 (Time Domain)", id=0):
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with gr.Row():
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@@ -581,7 +630,7 @@ with gr.Blocks(title="自动控制原理学习网站", css=custom_css) as demo:
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with gr.Column(scale=1):
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with gr.Group():
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gr.Markdown("<div class='card-title'>🎚️ 调整系统增益</div>")
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log_k_slider_freq = gr.Slider(minimum=-1, maximum=3, value=1, step=0.01, label="对数增益 log10(K)")
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log_k_slider_freq = gr.Slider(minimum=-4, maximum=4, value=1, step=0.01, label="对数增益 log10(K)")
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k_number_display_freq = gr.Number(value=10.0, label="增益 K (Gain)", interactive=False)
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with gr.Group():
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@@ -688,7 +737,7 @@ with gr.Blocks(title="自动控制原理学习网站", css=custom_css) as demo:
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with gr.TabItem("根轨迹 (Root Locus)", id=2):
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("### 1. 调整系统增益"); log_k_slider_rl = gr.Slider(minimum=-1, maximum=3, value=1, step=0.01, label="对数增益 log10(K)")
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gr.Markdown("### 1. 调整系统增益"); log_k_slider_rl = gr.Slider(minimum=-4, maximum=4, value=1, step=0.01, label="对数增益 log10(K)")
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k_number_display = gr.Number(value=10.0, label="增益 K (Gain)", interactive=False); gr.Markdown("### 2. 当前增益下的闭环极点")
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rl_poles_display = gr.Textbox(label="Closed-Loop Pole Locations", lines=4, interactive=False)
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with gr.Column(scale=2):
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@@ -1003,4 +1052,9 @@ with gr.Blocks(title="自动控制原理学习网站", css=custom_css) as demo:
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if __name__ == "__main__":
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# 需要安装 aiohttp: pip install aiohttp
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demo.launch(debug=True)
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demo.launch(
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server_name="0.0.0.0", # 监听所有网络接口
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server_port=7860, # 指定一个端口
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share=False # 关闭Gradio的临时分享
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)
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