MCP + MATLAB自动化建模实战
·
MCP + Simulink 自动建模完整搭建指南
利用 VS Code Copilot Chat 的 MCP (Model Context Protocol) 能力，通过自然语言对话驱动 MATLAB/Simulink 自动创建电力电子仿真模型。
目录
- 整体架构
- 环境准备
- Python 虚拟环境配置
- MATLAB Engine API 安装
- MCP Server 开发
- VS Code MCP 配置
- Simulink 建模脚本
- 在 Copilot Chat 中使用
- 常见问题与解决
- 完整项目文件清单
1. 整体架构
┌──────────────────────────────────────────────────────────────────┐
│ VS Code │
│ ┌─────────────┐ ┌──────────────────┐ ┌──────────────┐ │
│ │ Copilot Chat │ ──▶ │ MCP Client │ ──▶ │ .mcp.json │ │
│ │ (对话界面) │ │ (内置,stdio协议) │ │ (服务配置) │ │
│ └─────────────┘ └──────────────────┘ └──────┬───────┘ │
│ │ │
└──────────────────────────────────────────────────────┼──────────┘
│ stdio
┌──────────────────────────────────────────────────────┼──────────┐
│ Python 进程 ▼ │
│ ┌──────────────────────────────────────────────────────────┐ │
│ │ MCP Server (server.py) │ │
│ │ • simulink_create_model • simulink_add_block │ │
│ │ • simulink_connect_blocks • simulink_set_params │ │
│ │ • simulink_run_simulation • simulink_get_info │ │
│ │ • simulink_feedback_loop • simulink_close_model │ │
│ └──────────────────────────┬───────────────────────────────┘ │
│ │ MATLAB Engine API │
│ ┌──────────────────────────▼───────────────────────────────┐ │
│ │ matlab_engine.py (封装层) │ │
│ │ new_system / open_system / add_block / add_line / ... │ │
│ └──────────────────────────┬───────────────────────────────┘ │
└──────────────────────────────┼───────────────────────────────────┘
│
┌──────────────────────────────▼───────────────────────────────────┐
│ MATLAB / Simulink │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ Simscape Electrical (ee_lib) + Foundation Library │ │
│ │ • Three-Phase Source • N-Channel MOSFET │ │
│ │ • Induction Machine • Phase Splitter │ │
│ │ • Gate Driver • Solver Configuration │ │
│ └─────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────────┘
工作流程
2. 环境准备
必需软件
| 软件 | 版本要求 | 说明 |
|---|---|---|
| MATLAB | R2022b+ | 需包含 Simulink、Simscape、Simscape Electrical |
| Python | 3.10+ | 用于运行 MCP Server |
| VS Code | 最新版 | 内置 Copilot Chat 和 MCP 支持 |
检查 MATLAB 工具箱
在 MATLAB 命令窗口中运行：
% 检查必需工具箱
license('test', 'Simulink') % 应返回 1
license('test', 'Simscape') % 应返回 1
license('test', 'Power_System_Blocks') % Simscape Electrical
3. Python 虚拟环境配置
3.1 创建虚拟环境
# 在项目根目录下
cd c:\jason\imcc_starter
python -m venv .venv
# 激活虚拟环境 (Windows PowerShell)
.venv\Scripts\Activate.ps1
3.2 安装 Python 依赖
创建 mcp-server/requirements.txt：
mcp>=1.0.0
matlabengine>=9.14.0
安装：
pip install -r mcp-server/requirements.txt
3.3 验证安装
python -c "import mcp; print('MCP OK')"
python -c "import matlab.engine; print('MATLAB Engine OK')"
4. MATLAB Engine API 安装
方法一：在 MATLAB 中安装（推荐）
在 MATLAB 命令窗口中执行：
% 切换到 MATLAB Engine 安装目录
cd(fullfile(matlabroot, 'extern', 'engines', 'python'))
% 安装到当前 Python 环境
system('python -m pip install .')
方法二：手动指定 Python 路径
% 如果使用虚拟环境
cd(fullfile(matlabroot, 'extern', 'engines', 'python'))
system('c:\jason\imcc_starter\.venv\Scripts\python.exe -m pip install .')
验证
import matlab.engine
eng = matlab.engine.start_matlab() # 启动需要 10-30 秒
print(eng.eval("version")) # 显示 MATLAB 版本
eng.quit()
5. MCP Server 开发
5.1 项目目录结构
imcc_starter/
├── .mcp.json # VS Code MCP 服务配置
├── mcp-server/
│ ├── requirements.txt # Python 依赖
│ ├── server.py # MCP 主服务入口
│ ├── matlab_engine.py # MATLAB Engine 封装
│ └── tools/
│ └── simulink_tools.py # Simulink 建模工具
├── matlab-scripts/
│ ├── init_simulink.m # Simulink 环境初始化
│ ├── block_templates.m # 模块模板库
│ ├── build_complete_model.m # 完整建模脚本
│ ├── fix_solver.m # Solver 修复脚本
│ └── fix_neutral.m # 中性点修复脚本
└── 02_model/HW/ # 模型输出目录
5.2 MCP Server 主入口 (server.py)
"""
MCP Simulink Server - 主入口
通过 MCP 协议暴露 Simulink 自动建模工具
"""
import asyncio
import json
import logging
from mcp.server import Server, NotificationOptions
from mcp.server.models import InitializationCapabilities
from mcp.server.stdio import stdio_server
from matlab_engine import MatlabEngine
from tools.simulink_tools import SimulinkTools
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("mcp-simulink")
# 初始化 MATLAB 引擎（延迟加载）
matlab = MatlabEngine()
simulink = SimulinkTools(matlab)
# 创建 MCP Server
server = Server("simulink-mcp")
# ============================================================
# 工具定义 - 注册 8 个 Simulink 建模工具
# ============================================================
@server.list_tools()
async def list_tools() -> list[dict]:
"""列出所有可用的 Simulink 建模工具"""
return [
{
"name": "simulink_create_model",
"description": "创建一个新的 Simulink 模型文件 (.slx)",
"inputSchema": {
"type": "object",
"properties": {
"modelName": {"type": "string", "description": "模型名称"},
"savePath": {"type": "string", "description": "保存路径"}
},
"required": ["modelName"]
}
},
{
"name": "simulink_add_block",
"description": "向模型中添加一个 Simulink 模块",
"inputSchema": {
"type": "object",
"properties": {
"modelName": {"type": "string"},
"blockType": {
"type": "string",
"description": "模块类型: Sum, Gain, Integrator, TransferFcn, Inport, Outport, Scope, Constant, Step 等"
},
"blockName": {"type": "string"},
"position": {"type": "array", "items": {"type": "number"}}
},
"required": ["modelName", "blockType"]
}
},
{
"name": "simulink_connect_blocks",
"description": "连接两个 Simulink 模块",
"inputSchema": {
"type": "object",
"properties": {
"modelName": {"type": "string"},
"srcBlock": {"type": "string"},
"srcPort": {"type": "number", "description": "源端口号，默认 1"},
"dstBlock": {"type": "string"},
"dstPort": {"type": "number", "description": "目标端口号，默认 1"}
},
"required": ["modelName", "srcBlock", "dstBlock"]
}
},
{
"name": "simulink_set_block_params",
"description": "设置 Simulink 模块参数",
"inputSchema": {
"type": "object",
"properties": {
"modelName": {"type": "string"},
"blockName": {"type": "string"},
"params": {"type": "object", "description": "参数字典"}
},
"required": ["modelName", "blockName", "params"]
}
},
{
"name": "simulink_run_simulation",
"description": "运行 Simulink 仿真",
"inputSchema": {
"type": "object",
"properties": {
"modelName": {"type": "string"},
"stopTime": {"type": "string", "description": "仿真停止时间，默认 10"}
},
"required": ["modelName"]
}
},
{
"name": "simulink_get_model_info",
"description": "获取模型结构信息",
"inputSchema": {
"type": "object",
"properties": {
"modelName": {"type": "string"}
},
"required": ["modelName"]
}
},
{
"name": "simulink_create_feedback_loop",
"description": "快速创建 PID 反馈控制系统",
"inputSchema": {
"type": "object",
"properties": {
"modelName": {"type": "string"},
"plantTF": {"type": "string", "description": "传递函数"},
"kp": {"type": "number"},
"ki": {"type": "number"},
"kd": {"type": "number"}
},
"required": ["modelName", "plantTF"]
}
},
{
"name": "simulink_close_model",
"description": "关闭并保存模型",
"inputSchema": {
"type": "object",
"properties": {
"modelName": {"type": "string"},
"save": {"type": "boolean"}
},
"required": ["modelName"]
}
}
]
@server.call_tool()
async def call_tool(name: str, arguments: dict) -> list[dict]:
"""路由工具调用到对应的处理函数"""
try:
matlab.ensure_connected()
if name == "simulink_create_model":
result = simulink.create_model(
arguments["modelName"],
arguments.get("savePath")
)
elif name == "simulink_add_block":
result = simulink.add_block(
arguments["modelName"],
arguments["blockType"],
arguments.get("blockName"),
arguments.get("position")
)
elif name == "simulink_connect_blocks":
result = simulink.connect_blocks(
arguments["modelName"],
arguments["srcBlock"],
arguments["dstBlock"],
arguments.get("srcPort", 1),
arguments.get("dstPort", 1)
)
elif name == "simulink_set_block_params":
result = simulink.set_block_params(
arguments["modelName"],
arguments["blockName"],
arguments["params"]
)
elif name == "simulink_run_simulation":
result = simulink.run_simulation(
arguments["modelName"],
arguments.get("stopTime", "10")
)
elif name == "simulink_get_model_info":
result = simulink.get_model_info(arguments["modelName"])
elif name == "simulink_create_feedback_loop":
result = simulink.create_feedback_loop(
arguments["modelName"],
arguments["plantTF"],
arguments.get("kp", 1.0),
arguments.get("ki", 0.1),
arguments.get("kd", 0.01)
)
elif name == "simulink_close_model":
result = simulink.close_model(
arguments["modelName"],
arguments.get("save", True)
)
else:
raise ValueError(f"Unknown tool: {name}")
return [{"type": "text", "text": json.dumps(result, ensure_ascii=False, indent=2)}]
except Exception as e:
logger.error(f"Tool {name} failed: {e}")
return [{"type": "text", "text": json.dumps({"error": str(e)}, ensure_ascii=False)}]
# ============================================================
# 启动服务
# ============================================================
async def main():
async with stdio_server() as (read_stream, write_stream):
await server.run(
read_stream,
write_stream,
InitializationCapabilities(
sampling=NotificationOptions(),
roots=NotificationOptions(),
),
)
if __name__ == "__main__":
asyncio.run(main())
5.3 MATLAB Engine 封装 (matlab_engine.py)
关键要点：所有无返回值的 MATLAB 函数调用必须使用
nargout=0，否则会报 “Too many output arguments” 错误。
"""
MATLAB Engine 封装层
管理与 MATLAB 的连接，提供 MATLAB 函数调用的 Python 接口
"""
import logging
from typing import Any
logger = logging.getLogger("matlab-engine")
class MatlabEngine:
"""MATLAB Engine 封装，支持延迟连接和自动重连"""
def __init__(self):
self._eng = None
self._connected = False
def ensure_connected(self):
"""确保与 MATLAB 的连接处于活跃状态"""
if not self._connected:
self.connect()
def connect(self):
"""建立与 MATLAB 的连接"""
try:
import matlab.engine
logger.info("正在启动 MATLAB Engine...")
self._eng = matlab.engine.start_matlab()
# 添加当前项目路径
self._eng.addpath(self._eng.genpath(
r'c:\jason\imcc_starter\matlab-scripts'
))
self._connected = True
logger.info("MATLAB Engine 连接成功")
except ImportError:
raise RuntimeError(
"未安装 MATLAB Engine API for Python。\n"
"请运行: pip install matlabengine\n"
"或参考: https://www.mathworks.com/help/matlab/matlab_external/"
"install-the-matlab-engine-for-python.html"
)
except Exception as e:
raise RuntimeError(f"无法连接到 MATLAB: {e}\n"
"请确保 MATLAB 已安装且 license 可用。")
def disconnect(self):
"""断开 MATLAB 连接"""
if self._eng:
try:
self._eng.quit()
except Exception:
pass
self._eng = None
self._connected = False
# ---- 基础 MATLAB 操作 ----
def eval(self, expr: str, nargout: int = 0) -> Any:
"""执行 MATLAB 表达式"""
self.ensure_connected()
return self._eng.eval(expr, nargout=nargout)
def feval(self, func_name: str, *args, nargout: int = 0) -> Any:
"""调用 MATLAB 函数"""
self.ensure_connected()
func = getattr(self._eng, func_name)
return func(*args, nargout=nargout)
# ---- Simulink 专用操作 ----
# 注意：以下所有操作都使用 nargout=0（无返回值）
def new_system(self, model_name: str) -> str:
"""创建新 Simulink 模型"""
return self.feval("new_system", model_name, nargout=0)
def open_system(self, model_name: str):
"""打开已有模型"""
return self.feval("open_system", model_name, nargout=0)
def close_system(self, model_name: str, save: bool = True):
"""关闭模型"""
if save:
self.feval("close_system", model_name, 1, nargout=0)
else:
self.feval("close_system", model_name, 0, nargout=0)
def add_block(self, source_type: str, dest: str):
"""添加 Simulink 模块"""
return self.feval("add_block", source_type, dest, nargout=0)
def add_line(self, model: str, src: str, dst: str):
"""添加连线"""
return self.feval("add_line", model, src, dst, nargout=0)
def set_param(self, obj: str, param: str, value: str):
"""设置对象参数"""
return self.feval("set_param", obj, param, value, nargout=0)
def get_param(self, obj: str, param: str) -> str:
"""获取对象参数 (需要 nargout=1 才能返回值)"""
return self.feval("get_param", obj, param, nargout=1)
def save_system(self, model_name: str, path: str = None):
"""保存模型"""
if path:
return self.feval("save_system", model_name, path, nargout=0)
else:
return self.feval("save_system", model_name, nargout=0)
def sim(self, model_name: str) -> Any:
"""运行仿真"""
return self.feval("sim", model_name, nargout=0)
def find_system(self, model_name: str) -> list:
"""查找系统中的模块"""
result = self.feval("find_system", model_name, nargout=1)
if result:
return list(result)
return []
5.4 Simulink 工具集 (tools/simulink_tools.py)
"""
Simulink 建模工具集
封装所有 Simulink 自动建模操作
"""
import logging
from typing import Optional
from matlab_engine import MatlabEngine
logger = logging.getLogger("simulink-tools")
# 常用 Simulink 库模块映射
BUILTIN_BLOCKS = {
"Inport": "simulink/Sources/In1",
"Outport": "simulink/Sinks/Out1",
"Constant": "simulink/Sources/Constant",
"Step": "simulink/Sources/Step",
"Sum": "simulink/Math Operations/Sum",
"Gain": "simulink/Math Operations/Gain",
"Integrator": "simulink/Continuous/Integrator",
"TransferFcn": "simulink/Continuous/Transfer Fcn",
"PID": "simulink/Continuous/PID Controller",
"Scope": "simulink/Sinks/Scope",
"Mux": "simulink/Signal Routing/Mux",
"Demux": "simulink/Signal Routing/Demux",
}
class SimulinkTools:
"""Simulink 自动建模工具类"""
def __init__(self, engine: MatlabEngine):
self.eng = engine
def create_model(self, model_name: str, save_path: Optional[str] = None) -> dict:
"""创建新的 Simulink 模型"""
try:
self.eng.eval(f"bdclose('{model_name}')")
except Exception:
pass
self.eng.new_system(model_name)
self.eng.open_system(model_name)
if save_path:
full_path = f"{save_path}/{model_name}.slx"
self.eng.save_system(model_name, full_path)
else:
self.eng.save_system(model_name)
return {
"status": "success",
"modelName": model_name,
"message": f"Simulink 模型 '{model_name}' 已创建并打开"
}
def add_block(self, model_name: str, block_type: str,
block_name: Optional[str] = None,
position: Optional[list] = None) -> dict:
"""添加模块到模型"""
source = BUILTIN_BLOCKS.get(block_type, block_type)
if not block_name:
block_name = block_type
dest = f"{model_name}/{block_name}"
try:
self.eng.add_block(source, dest)
except Exception as e:
return {"status": "error", "message": str(e)}
if position and len(position) == 4:
pos_str = f"[{position[0]} {position[1]} {position[2]} {position[3]}]"
self.eng.set_param(dest, "Position", pos_str)
return {
"status": "success",
"blockName": block_name,
"blockType": block_type,
"fullPath": dest
}
def connect_blocks(self, model_name: str, src_block: str, dst_block: str,
src_port: int = 1, dst_port: int = 1) -> dict:
"""连接两个模块"""
src = f"{model_name}/{src_block}/{src_port}"
dst = f"{model_name}/{dst_block}/{dst_port}"
try:
self.eng.add_line(model_name, src, dst)
return {"status": "success", "src": f"{src_block}:{src_port}", "dst": f"{dst_block}:{dst_port}"}
except Exception as e:
return {"status": "error", "message": str(e)}
def set_block_params(self, model_name: str, block_name: str, params: dict) -> dict:
"""设置模块参数"""
full_path = f"{model_name}/{block_name}"
results = {}
for param, value in params.items():
try:
self.eng.set_param(full_path, param, str(value))
results[param] = "success"
except Exception as e:
results[param] = str(e)
return {"status": "success", "blockPath": full_path, "params": results}
def run_simulation(self, model_name: str, stop_time: str = "10") -> dict:
"""运行仿真"""
try:
self.eng.set_param(model_name, "StopTime", stop_time)
self.eng.sim(model_name)
return {"status": "success", "stopTime": stop_time}
except Exception as e:
return {"status": "error", "error": str(e)}
def get_model_info(self, model_name: str) -> dict:
"""获取模型结构信息"""
try:
blocks = self.eng.find_system(model_name)
return {
"modelName": model_name,
"blockCount": len(blocks) if blocks else 0,
"blocks": [str(b) for b in blocks] if blocks else []
}
except Exception as e:
return {"error": str(e)}
def close_model(self, model_name: str, save: bool = True) -> dict:
"""关闭模型"""
if save:
self.eng.save_system(model_name)
self.eng.close_system(model_name, save)
return {"status": "success", "modelName": model_name, "saved": save}
def create_feedback_loop(self, model_name: str, plant_tf: str,
kp: float = 1.0, ki: float = 0.1,
kd: float = 0.01) -> dict:
"""快速创建 PID 反馈控制系统"""
steps = []
self.create_model(model_name)
steps.append("模型已创建")
# 添加模块
self.add_block(model_name, "Step", "Step Input", [50, 100, 90, 130])
self.add_block(model_name, "Sum", "Sum", [200, 100, 230, 130])
self.eng.set_param(f"{model_name}/Sum", "Inputs", "|+-")
self.add_block(model_name, "PID", "PID Controller", [350, 90, 390, 140])
self.add_block(model_name, "TransferFcn", "Plant", [500, 90, 550, 140])
self.add_block(model_name, "Outport", "Output", [650, 100, 670, 130])
self.add_block(model_name, "Scope", "Scope", [650, 180, 680, 210])
# 设置参数
self.set_block_params(model_name, "PID Controller", {"P": str(kp), "I": str(ki), "D": str(kd)})
self.set_block_params(model_name, "Plant", {"Numerator": "[1]", "Denominator": "[1 2 1]"})
# 连线
self.connect_blocks(model_name, "Step Input", "Sum", 1, 1)
self.connect_blocks(model_name, "Sum", "PID Controller", 1, 1)
self.connect_blocks(model_name, "PID Controller", "Plant", 1, 1)
self.connect_blocks(model_name, "Plant", "Output", 1, 1)
self.connect_blocks(model_name, "Plant", "Scope", 1, 1)
# 反馈
self.eng.add_line(model_name, f"{model_name}/Plant/1", f"{model_name}/Sum/2")
return {"status": "success", "modelName": model_name, "steps": steps}
6. VS Code MCP 配置
6.1 创建 .mcp.json
在项目根目录创建 .mcp.json：
{
"mcpServers": {
"simulink": {
"command": "c:/jason/imcc_starter/.venv/Scripts/python.exe",
"args": [
"c:/jason/imcc_starter/mcp-server/server.py"
],
"env": {
"PYTHONUNBUFFERED": "1"
}
}
}
}
6.2 配置说明
| 字段 | 说明 |
|---|---|
command |
Python 解释器路径（使用虚拟环境中的） |
args |
MCP Server 脚本路径 |
env.PYTHONUNBUFFERED |
设置为 1 确保实时输出 |
6.3 加载配置
- 保存
.mcp.json后，按Ctrl+Shift+P→ 输入Reload Window重新加载窗口 - Copilot Chat 会自动检测
.mcp.json并启动 MCP Server - 首次启动时 MATLAB Engine 需要 10-30 秒初始化
7. Simulink 建模脚本
7.1 Simscape Electrical 库结构
R2026a 中 Simscape Electrical 的主要库路径：
| 库 | 路径 | 包含 |
|---|---|---|
| Simscape Electrical | ee_lib |
电源、电机、半导体、开关 |
| Foundation Library | fl_lib |
基础电气/机械/液压元件 |
| Simscape Utilities | nesl_utility |
Solver Configuration, PS-Simulink Converter |
| Simulink | simulink |
Step, Scope, Mux, Demux 等 |
7.2 关键 Simscape 模块路径
% 电源
'ee_lib/Sources/Voltage Source (Three-Phase)'
% 电机
'ee_lib/Electromechanical/Asynchronous/Induction Machine Squirrel Cage'
% 半导体
'ee_lib/Semiconductors & Converters/N-Channel MOSFET'
'ee_lib/Semiconductors & Converters/Gate Driver'
% 连接器
'ee_lib/Connectors & References/Phase Splitter'
'ee_lib/Connectors & References/Floating Neutral (Three-Phase)'
'ee_lib/Connectors & References/Grounded Neutral (Three-Phase)'
% 基础元件
'fl_lib/Electrical/Electrical Elements/Electrical Reference'
'fl_lib/Mechanical/Rotational Elements/Inertia'
'fl_lib/Mechanical/Rotational Elements/Mechanical Rotational Reference'
% 工具
'nesl_utility/Solver Configuration'
'nesl_utility/PS-Simulink Converter'
'nesl_utility/Simulink-PS Converter'
7.3 Simscape 连接规则
| 规则 | 说明 |
|---|---|
| 物理连接 | Simscape 模块间使用绿色物理连线（conserving ports） |
| 信号连接 | PS-Simulink Converter 将物理信号转为 Simulink 信号 |
| Solver Configuration | 每个物理网络必须连接恰好一个 Solver Configuration |
| Electrical Reference | 电路中必须有接地点 |
| nargout=0 | 通过 MATLAB Engine 调用无返回值函数时必须显式指定 |
8. 在 Copilot Chat 中使用
8.1 基础建模对话
启动 VS Code 并加载工作区后，在 Copilot Chat 中说：
| 你说 | Copilot 做的 |
|---|---|
| “创建一个名为 motor_test 的 Simulink 模型” | 调用 simulink_create_model |
| “添加一个 Step 模块” | 调用 simulink_add_block |
| “把 Step 连接到 Scope” | 调用 simulink_connect_blocks |
| “设置 Gain 模块增益为 5.0” | 调用 simulink_set_block_params |
| “运行 20 秒仿真” | 调用 simulink_run_simulation |
| “查看模型结构” | 调用 simulink_get_model_info |
| “创建一个 PID 控制系统” | 调用 simulink_create_feedback_loop |
8.2 电力电子建模对话
用户: 在HW文件夹中创建一个三相异步电机驱动模型
包含三相电压源、背靠背MOSFET、鼠笼式异步电机
Copilot: [调用 MCP 工具逐步创建]
1. simulink_create_model("three_phase_motor_drive", "02_model/HW")
2. simulink_add_block(..., "Three-Phase Source")
3. simulink_add_block(..., "N-Channel MOSFET") × 6
4. simulink_add_block(..., "Induction Machine Squirrel Cage")
5. simulink_connect_blocks(...) × N
...
9. 常见问题与解决
9.1 启动问题
| 问题 | 原因 | 解决 |
|---|---|---|
ModuleNotFoundError: mcp |
未安装 mcp 包 | pip install mcp |
ModuleNotFoundError: matlab |
未安装 MATLAB Engine API | 按第4节步骤安装 |
.mcp.json 不生效 |
VS Code 未重载 | Ctrl+Shift+P → Reload Window |
| MATLAB 连接超时 | MATLAB 启动需要时间 | 首次等待 30 秒，后续复用会话 |
9.2 建模问题
| 问题 | 原因 | 解决 |
|---|---|---|
| “Too many output arguments” | 函数调用缺少 nargout=0 |
对所有 Simulink 操作函数添加 nargout=0 |
| “每个物理网络必须连接 Solver Configuration” | Solver Config 未连入电路 | 将 Solver Configuration 连到 Electrical Reference |
| “初始条件求解失败” | 电机中性点悬空/机械端口未连接 | 添加 Floating Neutral + Inertia + Mechanical Reference |
| “只能从非连接端口向连接端口连线” | 端口类型不匹配（信号 vs 物理） | 确保 Simscape 模块间用物理端口连接 |
9.3 Simscape 电机建模注意事项
✅ 必须连接的端口:
• 三相电源 → Phase Splitter → MOSFETs → Phase Combiner → 电机(复合端口)
• 电机机械端口 → Inertia → Mechanical Reference
• Solver Configuration → Electrical Reference
• Electrical Reference 必须存在于电路中
⚠️ 常见陷阱:
• 电机"扩展三相端口"模式可能导致中性点浮空
• 推荐使用"复合三相端口" + Phase Splitter/Combiner
• MOSFET 初始关断导致零电流，需加 snubber 电阻或设置初始条件
9.4 调试技巧
% 在 MATLAB 中诊断模型
open_system('three_phase_motor_drive');
% 更新图（检查连线错误）
set_param('three_phase_motor_drive', 'SimulationCommand', 'update');
% 查看所有模块
blocks = find_system('three_phase_motor_drive');
disp(blocks);
% 查看模块端口
ph = get_param('three_phase_motor_drive/Induction Motor', 'PortHandles');
fprintf('LConn=%d, RConn=%d\n', length(ph.LConn), length(ph.RConn));
10. 完整项目文件清单
imcc_starter/
│
├── .mcp.json # VS Code MCP 配置
├── imcc_starter.prj # MATLAB 项目文件
├── imcc_starter.code-workspace # VS Code 工作区
│
├── mcp-server/ # MCP Server (Python)
│ ├── requirements.txt # Python 依赖
│ ├── server.py # MCP 主入口 (8个工具)
│ ├── matlab_engine.py # MATLAB Engine 封装
│ └── tools/
│ └── simulink_tools.py # Simulink 工具实现
│
├── matlab-scripts/ # MATLAB 辅助脚本
│ ├── init_simulink.m # 环境初始化
│ ├── block_templates.m # 模块模板
│ ├── build_complete_model.m # 完整三相电机建模
│ ├── fix_solver.m # Solver 配置修复
│ ├── fix_neutral.m # 中性点修复
│ ├── fix_mech.m # 机械端口修复
│ ├── fix_motor_port.m # 电机端口模式切换
│ ├── fix_init.m # 初始条件修复
│ ├── wire_hw_model.m # 接线脚本
│ └── final_wiring.m # 最终接线
│
├── 02_model/HW/ # 模型输出
│ └── three_phase_motor_drive.slx # 三相电机驱动模型
│
└── resources/project/ # 项目资源
└── Project.xml
附录：快速启动检查清单
- MATLAB 已安装且 Simscape Electrical 可用
- Python 3.10+ 虚拟环境已创建
-
pip install mcp matlabengine已完成 - MATLAB 中已安装 Engine API for Python
-
.mcp.json中 Python 路径指向 venv - VS Code 已
Reload Window - 在 Copilot Chat 中测试: “创建一个 Simulink 模型”
文档版本: v1.0
创建日期: 2026-06-22
适用 MATLAB: R2026a (Simscape Electrical)
适用 Python: 3.10+
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