煤矿电机车是煤矿井下的主要运输工具，其动力驱动系统的好坏直接关系到运行过程中的经济性和安全可靠性。直接转矩控制直接在定子坐标系下分析电机的磁链和转矩，能够获得快速的转矩响应，特别适用于大惯量牵引系统，因此建立适用于煤矿井下特殊工矿的电机车直接转矩控制系统，具有较大的理论价值和实际意义。针对这一点，本文提出了一种适用于煤矿电机车的直接转矩控制系统。 在阐述了我国目前煤矿电机车交流改造的现状和分析了煤矿电机车的交流调速方案选择，根据电机车运行过程中电机的参数变化和突加负载时线性速度调节器很难满足控制系统的性能需求，提出了采用带多个调整因子模糊控制器来实现直接转矩控制的转速闭环方案。 针对模糊控制器调整因子的优化设计问题，本文将微粒群算法和IATE性能指标应用到调整因子的寻优设计当中。该算法优化能力强大，性能指标便于计算机实现，使得控制系统不仅结构简单，而且优化性能大大提高。仿真结果也表明，该方法不仅使得系统的上升时间快，而且超调量和调节时间都比较小。 为了验证以上方案的可行性，建立了基于模糊控制的煤矿电机车直接转矩控制系统，并搭建SIMULINK仿真模型。还结合TMS320LF2407 DSP芯片，给出了控制系统的软硬件设计思路。通过各种工况情况下的直接转矩控制系统的仿真结果比较，验证了本文提出的控制系统更能够适应煤矿井下的复杂运行环境。

The mining locomotive haulage is the main transport equipments in coal field. Its drive system directly impacts on the running cost and safe reliability. In direct torque control system, it is possible to control the stator flux and the torque which can achieve minimal torque response time for big inertia system. It has important theory value and actual significance to build a DTC system for mining locomotive haulage. According to analysis, the paper presents a new DTC system for mining locomotive haulage. Reviewing the present state and development of AC drive system of mining locomotive haulage and its scheme analysis, a fuzzy controller with regulating factors is designed as speed regulator to improve the performance of DTC system during parameter variations and load disturbance in AC drive system of mining locomotive haulage. In order to make regulating factors optimization in the speed regulator, an algorithm based on ITAE performance index and particle swarm optimization (PSO) algorithm is designed. Because of its powerful optimization function and easy to implementation, the structure of control system is simple and its optimization function is improved greatly. The simulation result proved that not only the overshoot of control system is the smallest but also its rise time and transition time are the shortest. For verifying feasibility of the scheme, the simulation model and design thoughts for design of hardware and software based on TMS320LF2407 DSP are given. The simulation results for different work condition prove that presented system can fit for operating in complex coal field environment.