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Application of Hybrid Intensified Current Search to Optimal State-Feedback Controller Design for Tractor Active Suspension System

This paper presents the application of the hybrid intensified current search (HICuS) to state-feedback controller design for the tractor active suspension system. The HICuS is one of the latest modified versions of the Levy-flight intensified current search (LFICuS) formed from the characteristics of the electrical current in the networks. It employs the interlaced random process from the uniform distribution and Levy-flight distribution to generate the feasible solution. In addition, the adaptive radius (AR) mechanism which is automatically adjusted is conducted to speed-up the search process. The HICuS is applied to design the optimal state-feedback controller for the tractor active suspension system. As results, the HICuS can successfully optimize the state-feedback controller for the tractor active suspension system by giving very satisfactory response with smaller oscillation and faster regulating time than the pole-placement method.