矿用机车牵引电机非线性动态分数阶滑模控制

摘要：

矿用电机车恶劣的运行环境和复杂的运行工况会影响机车牵引电机控制性能。 为了提高电机车牵引电机的速度控制性能， 提出了一种考虑不确定因素的动态分数阶积分滑模控制算法。 针对牵引电机复杂的负载扰动设计了负载转矩滑模观测器， 将其观测值融入到动态分数阶滑模控制器中， 以克服负载扰动对控制性能的影响。 然后， 应用Lyapunov定理证明了所设计控制器的稳定性， 并将所设计的动态分数阶滑模控制器与整数阶滑模、 分数阶滑模控制进行了仿真实验对比。 仿真实验表明， 相比于整数阶滑模和分数阶滑模控制器， 带负载观测的动态分数阶积分滑模控制器的动态性能和静态性能更好， 并有较强的抗干扰能力， 可以有效地提高矿用机车牵引电机的控制性能。

The harsh operating environment and complex operating conditions of the mine electric locomotive affect the control performance of the locomotive traction motor. In order to improve the speed control performance of electric locomotive traction motors, a dynamic fractional-order sliding mode control(DFOSMC) algorithm considering uncertain factors was proposed. A load torque sliding mode observer was designed for the complex load disturbance of the traction motor, and its observations were integrated into the DFOSMC controller to overcome the influence of load disturbance. Finally, the stability of the designed controller was proved by Lyapunov's theorem. Besides, the control performance of DFOSMC controller was compared with integer-order sliding mode controller and fractional-order sliding mode controller through simulation experiments. Compared with integer-order sliding mode and fractional-order sliding mode controllers, the dynamic and static performance of the DFOSMC controller with load observation is better, and it has stronger anti-interference ability. The DFOSMC controller effectively improves the control performance of the traction motor of the mining locomotive.