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Implementation of sliding mode control using modification of two-steps LMI approach for speed control of electric vehicle simulator

机译:利用两步LMI方法的改进实现电动汽车模拟器速度控制的滑模控制

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Along with the advanced development of electric vehicles today, the control process for electric vehicles is also increasingly needed, one of which is the speed control of electric vehicles. This paper describes the speed control of electric vehicles simulator consisting of two BLDC motors that acting as a motor simulator and as a load simulator. This research use Arduino Mega microcontroller as the controller and MATLAB for the simulation purpose. In this study, the method of Sliding Mode Control (SMC) with a modification of two-steps Linear Matrix Inequality (LMI) approach will be implemented to control the speed of electric vehicle simulator. The modification here is adding an integrator in the SMC two-steps LMI approach system. This method is applied with the assumption that the system used is Linear Time-Invariant (LTI) and continuous. This method ensures that the closed loop system with the controller is stable in the sense of Lyapunov. The results of this research show that the design result of SMC controller with a modification of two-steps LMI approach is as expected. The simulations performed with MATLAB have resulted in a stable system response and can track the input given. Even with the load that simulating the frictional, drag, and gravitational forces both in downhill and uphill condition, the system is still meet the stable and tracking condition. Likewise, the results of the implementation of BLDC motor have shown a same result as the simulation, but with some errors that can be produced from sensor error, filter error, and the system model error.
机译:随着当今电动汽车的先进发展,也越来越需要电动汽车的控制过程,其中之一是电动汽车的速度控制。本文介绍了电动汽车模拟器的速度控制,该模拟器由两个BLDC电动机组成,分别用作电动机模拟器和负载模拟器。本研究使用Arduino Mega微控制器作为控制器,并使用MATLAB进行仿真。在这项研究中,将采用对两步线性矩阵不等式(LMI)方法进行修改的滑模控制(SMC)方法来控制电动汽车模拟器的速度。此处的修改是在SMC两步LMI方法系统中添加一个积分器。假设使用的系统是线性时不变(LTI)且是连续的,则应用此方法。从Lyapunov的角度来看,此方法可确保带有控制器的闭环系统稳定。研究结果表明,采用两步LMI方法的改进的SMC控制器的设计结果符合预期。使用MATLAB进行的仿真可以产生稳定的系统响应,并且可以跟踪给定的输入。即使具有模拟下坡和上坡条件下的摩擦力,阻力和重力的载荷,系统仍满足稳定和跟踪的条件。同样,BLDC电机的实施结果也显示出与仿真结果相同的结果,但其中的一些误差可能是由传感器误差,滤波器误差和系统模型误差引起的。

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