Comparison of Model Predictive Control strategies on PMSM based Electric Power Steering system

Chang Zhang, Jian Shi
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Abstract

The feasibility of applying model predictive control(MPC) strategy on electric power steering(EPS) application was verified in this paper. The comparison of three different MPC implementation strategies were studied in EPS test environment. First, a high-fidelity EPS nonlinear driving environment that qualifies Automotive standards was established in Matlab/Simulink based on the dynamic quadratic model of the steady-state steering system to test PI control and MPC strategies. Second, three MPC implementation strategies were applied into the established EPS test environment in accordance with the automotive EPS test standard to evaluate their performances. Third, three different MPC implementation strategies and PI control strategy were compared with each other to find out which MPC strategy best suits the EPS application.
基于永磁同步电机的电动助力转向系统模型预测控制策略比较
验证了模型预测控制(MPC)策略在电动助力转向(EPS)应用中的可行性。在EPS测试环境下,对三种不同的MPC实现策略进行了比较。首先,基于稳态转向系统的动态二次模型,在Matlab/Simulink中建立符合汽车标准的高保真EPS非线性驾驶环境,对PI控制和MPC策略进行测试。其次,根据汽车EPS测试标准,将三种MPC实施策略应用于建立的EPS测试环境中,对其性能进行评价。第三,比较了三种不同的MPC实现策略和PI控制策略,找出最适合EPS应用的MPC策略。
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