A NEW VIBRATION ISOLATION OF A HYDRAULIC SYSTEM USING A HETEROSYNAPTIC NEURAL NETWORK

✍ Scribed by M.-S. Cheong; D.-W. Cho

• Publisher: Elsevier Science
• Year: 1997
• Tongue: English
• Weight: 319 KB
• Volume: 11
• Category: Article
• ISSN: 0888-3270
• DOI: 10.1006/mssp.1997.0104

✦ Synopsis

Many hydraulic components have non-linearities to some extent. These non-linearities often cause time delays, thus degrading the performance of hydraulic control systems and making it difficult to model them. This paper proposes a new vibration isolation control algorithm that eliminates the need for sophisticated modeling of a hydraulic system. The algorithm is a hybrid-type control scheme consisting of a linear controller and a heterosynaptic neural network controller. Using this control scheme, simulations and experiments were performed for 1 and 2 degrees of freedom vibration isolation. The hybrid-type controller can isolate the vibration significantly better than can the linear controller. Also, from the weight values of the heterosynaptic neural network, a second-order equivalent differential model of the hydraulic control system can be obtained, which provides useful information such as the stability and the characteristics of the control system.