A new fuzzy adaptive combined-inversion control of two-motor drive system

Multi-motor drive system have been widely applied in many industrial fields, such as electric vehicles and rail transit. It is a multi-input multi-output (MIMO), nonlinear and strong-coupling complicated system. Therefore, it is hard to obtain good performance by traditional control methods. In addition, due to the accuracy of sensors or external disturbance, some system states are very difficult to be measured accurately in practice. To solve these problems, a new control method, termed as artificial neural network combined-inversion (ANNCI), is proposed for coupling control and soft-sensing. This control strategy adopts the left-inversion as a soft-sensor and the right-inversion as a decoupling control. Furthermore, fuzzy adaptive control is introduced into ANNCI to improve operation performance. Simulations are performed for verification.