Research Article
Hardware in the Loop Testing of Adaptive Inertia Weight PSO-Tuned LQR Applied to Vehicle Suspension Control
| (1) | Initialize the population size , the dimensions , maximum no of iterations , inertia weight , location boundary , and velocity boundary . | | (2) | for | | (3) | Initialize the success rate (SR) = 0 | | (4) | for | | (5) | Compute the fitness of the particles | | (6) | if | | (7) | SR = SR + 1 | | (8) | | | (9) | | | (10) | end | | (11) | if | | (12) | | | (13) | | | (14) | end | | (15) | for | | (16) | Update the velocity and position of the particle | | (17) | | | (18) | | | (19) | end | | (20) | Calculate the percentage of success using 14 | | (21) | Update the inertia weight using 15 | | (22) | end | | (23) | end |
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