An Integrated-Error-Based Adaptive Neuron Control and its application to Vehicle Suspension Systems

This paper develops a new neuron control strategy for the adaptive control of a multivariable active suspension system. The novelty is in the use of an integrated error approach to deal with the multivariable control of uncertain active suspension. By combining integrated error approach with the traditional neuron control(TNC), the integrated error neuron control(IENC) is presented and then applied to control adaptively a quarter-car active suspension. The performance of the IENC is compared to the TNC and with a passive suspension system. Simulation results demonstrate the proposed IENC strategy is a simple, effective and robust adaptive control approach. In addition, the newly proposed neuron scheme provides a concise yet efficient new possibility to the control of a class of uncertain multivariable systems similar to vehicle active suspension.