Optimization of the New Index Reaching Law of the Active Suspension Sliding Mode Controller Based on the Cuckoo Search Algorithm | Zendy

Shouwei Wei | Zendy; Xiaoyu Su | Zendy

Open Access

Optimization of the New Index Reaching Law of the Active Suspension Sliding Mode Controller Based on the Cuckoo Search Algorithm

Author(s) -

Shouwei Wei,

Xiaoyu Su

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/5585327

Subject(s) - cuckoo search , control theory (sociology) , active suspension , suspension (topology) , controller (irrigation) , sliding mode control , mode (computer interface) , computer science , law , nonlinear system , control (management) , mathematics , algorithm , artificial intelligence , particle swarm optimization , physics , quantum mechanics , homotopy , political science , pure mathematics , agronomy , actuator , biology , operating system

To facilitate the performance of the active suspension system, the optimization of a new reaching law of the active suspension sliding mode controller based on cuckoo algorithm is addressed in this paper. Firstly, a linear model of the active suspension system is built. Then, according to the features of the new exponential reaching law, an active sliding mode control scheme based on the new sliding mode reaching law is designed. Finally, the simulation results are separated into two stages to verify the suitability and superiority of the proposed control scenario.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research