Adaptive neuron control using an integrated error approach with application to active suspensions |
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Authors: | Y Jin D J Yu |
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Institution: | (1) Institute of Technology, Hunan Normal University, Changsha, 410081, China;(2) College of the Mechanical and Automotive Engineering, Hunan University, Changsha, 410082, China |
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Abstract: | This paper proposes a new neuron control strategy for an active vehicle suspension system, with the emphasis on the study
of multivariable and uncertain suspension characteristics. The novelty of this strategy is in the use of integrated error,
which consists of multiple output errors in the regulated plant. By combining the integrated error approach with the traditional
neuron control (TNC), integrated error neuron control (IENC) is presented. It provides a direct control to the multiple outputs
of the control plant simultaneously. Taking a quarter-car model as an example, the proposed control strategy is applied and
comparative simulations are carried out with various vehicle parameters and road input conditions. Simulation results prove
the effectiveness and robustness of the proposed IENC method. In addition, the newly proposed neuron scheme provides a simple
yet efficient new possibility for the control of a class of uncertain multivariable systems similar to an active vehicle suspension. |
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Keywords: | Active vehicle suspension Neuron control Integrated error Multivariable |
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