Tower Crane

Tower crane control focuses on optimizing crane movements to minimize payload swing and energy consumption while adhering to time constraints. Current research emphasizes developing advanced trajectory planning algorithms, often employing multi-objective evolutionary methods like genetic algorithms and differential evolution, to generate optimal control inputs for both single and double-pendulum crane models. This work is crucial for improving the efficiency and safety of autonomous tower crane operations in construction, particularly in complex scenarios requiring precise and rapid lifting. The resulting improvements in automation and efficiency have significant implications for construction project timelines and resource management.