Chen Tien-Chi, Yu Chih-Hsien, Chen Chun-Jung, Tsai Mi-Ching
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan.
ISA Trans. 2008 Jul;47(3):325-38. doi: 10.1016/j.isatra.2008.04.001. Epub 2008 May 23.
This paper presents a Fuzzy Neural Network (FNN) control system for a traveling-wave ultrasonic motor (TWUSM) driven by a dual mode modulation non-resonant driving circuit. First, the motor configuration and the proposed driving circuit of a TWUSM are introduced. To drive a TWUSM effectively, a novel driving circuit, that simultaneously employs both the driving frequency and phase modulation control scheme, is proposed to provide two-phase balance voltage for a TWUSM. Since the dynamic characteristics and motor parameters of the TWUSM are highly nonlinear and time-varying, a FNN control system is therefore investigated to achieve high-precision speed control. The proposed FNN control system incorporates neuro-fuzzy control and the driving frequency and phase modulation to solve the problem of nonlinearities and variations. The proposed control system is digitally implemented by a low-cost digital signal processor based microcontroller, hence reducing the system hardware size and cost. The effectiveness of the proposed driving circuit and control system is verified with hardware experiments under the occurrence of uncertainties. In addition, the advantages of the proposed control scheme are indicated in comparison with a conventional proportional-integral control system.
本文提出了一种用于由双模调制非谐振驱动电路驱动的行波超声电机(TWUSM)的模糊神经网络(FNN)控制系统。首先,介绍了TWUSM的电机结构和所提出的驱动电路。为了有效地驱动TWUSM,提出了一种新颖的驱动电路,该电路同时采用驱动频率和相位调制控制方案,为TWUSM提供两相平衡电压。由于TWUSM的动态特性和电机参数具有高度非线性和时变性,因此研究了一种FNN控制系统以实现高精度速度控制。所提出的FNN控制系统结合了神经模糊控制以及驱动频率和相位调制,以解决非线性和变化问题。所提出的控制系统由基于低成本数字信号处理器的微控制器进行数字实现,从而减小了系统硬件尺寸和成本。通过在不确定性情况下的硬件实验验证了所提出的驱动电路和控制系统的有效性。此外,与传统的比例积分控制系统相比,指出了所提出控制方案的优点。