Simulation of Optimal Control Model of Electromechanical Combined Braking Based on Genetic Algorithm

Mechanical combined braking is a new braking technology that combines mechanical braking with motor regenerative braking. The advantages of motor regenerative braking are high braking capacity and fast braking response. The disadvantage is that the maximum braking torque of the motor is affected by the motor speed. In this paper, GA(genetic algorithm) is used to optimize the control parameters, which has a quick response, and it is an indispensable factor to distinguish the braking strength and consider the motor efficiency, which can solve the problem of parameter tuning in the electro-mechanical combined braking optimization control model, thus proving the superiority of the control model and the algorithm adopted in this paper. The GA directly brakes the motor 9 to cut off the energy transmission. During braking, the driving motor can run in a braking state, that is, electrical braking, which forms a combined braking with mechanical braking. Based on GA-based optimal control model of electro-mechanical combined braking, the driving motor can run in a braking state, that is, electrical braking, which forms a combined braking with mechanical braking. The motor consumes a part of braking energy, and the mechanical braking consumes a part of braking energy, making the braking safe and reliable.