采煤机作为采煤装备关键设备之一，与液压支架、刮板运输机俗称“大三机”。“大三机”是实现“少人无人自动化工作面”的核心设备，而以采煤机为核心的自动化工作面是当今研究的重要内容。目前我国采煤装备制造有了长足发展，绝大部分煤矿都实现了机械化采煤。相对其他行业来说，其自动化及智能化程度还是偏低。绝大多数煤矿还是以人工手动割煤。如何让煤矿一线煤矿工人从恶略的环境中解放出来，是我们的终极目标。 本文以无链电牵引采煤机自动截割控制技术为研究目标，结合实际采煤方法和采煤工艺，提出了参数化自动记忆截割控制方法以及控制路径。以采煤机采高、位置、以及工艺流程为控制目标，简化控制需求。先通过传感器测量计算出采煤机左右滚筒采高、以及位置数据，建立采煤机2维模型，其次针对不同煤矿的不同采煤工艺，参数化选择采煤机记忆截割工艺流程。最后根据实际地理变化以及现场需求，人工远程干预调整。实现了记忆截割与远程干预的自动截割控制技术。 另外，为了更好的实现采煤机采高与煤层变化的适合度，本文在基于免疫算法方面提出了应用于采煤机采高点筛选的控制策略。该控制算法，是通过人工免疫算法对采煤机采样点的优化，使得对采样点中误差较大的点进行除去，计算合适的数据进行填充。增强了整个控制系统对地理环境的契合度。 最后，针对西安煤矿机械有限公司的MG620/1660-WD型采煤机，本文分别对其硬件及软件进行设计，并对其厂内模拟运行试验数据进行分析，最后得出本文的控制策略运用在采煤机自动截割系统上其准确性和响应速度都大幅度增加，提升了系统对复杂地质环境适应性能。

As one of the key equipment of coal mining equipment, the shearer is commonly known as the "big three machine" with the hydraulic support and the scraper conveyor. "Big three machine" is the core equipment to realize "few people's automated working face", and the automatic working face with shearers as core is an important part of today's research. At present, the production of coal mining equipment has made great progress in our country, and most of the coal mines have realized mechanized coal mining. Relative to other industries, the degree of automation and intelligence is still low. Most coal mines are manually cut coal by hand. It is our ultimate goal how to liberate coal mine workers from the bad environment. Taking the automatic cutting control technology of the non chain electric haulage shearer as the research goal, combined with the actual mining method and the mining technology, this paper puts forward the parameterization automatic memory cutting control method and the control path. The control demand is simplified by taking the mining height, position and process flow as the control target. First, the height and location data of the shearer's left and right cylinders are calculated through the sensor measurement, and the 2 dimensional model of the shearer is established. Secondly, according to the different mining processes of different coal mines, the process of memory cutting process of the shearer is parameterized. Finally, according to the actual geographical changes and the site needs, artificial remote intervention adjustment. The automatic cutting control technology of memory cutting and remote intervention is realized. In addition, in order to better achieve the suitability of shearer mining height and coal seam change, this paper proposes a control strategy applied to the selection of mining height points based on immune algorithm. The control algorithm is to optimize the sampling point of the shearer by artificial immune algorithm, so that the larger error points in the sampling points can be removed, and the appropriate data can be calculated to fill. The integration of the whole control system to the geographical environment is enhanced. Finally, according to the MG620/1660-WD type coal mining machine in Xi'an coal mining machinery limited company, this paper designed the hardware and software, and the analysis of the test data in simulation, finally obtains the control strategy by increasing the accuracy and response speed greatly in shearer automatic cutting system, improve the system to adapt the performance of complex geological environment.