Anti-carsickness active suspension robust genetic control method

An anti-carsickness active suspension robust genetic control method comprises the following steps:

• S1:
• Establishing a system state equation of a vehicle's four-degree-of-freedom active suspension according to dynamic characteristics of the vehicle;
• S2:
• Establishing basic performance constraints of the suspension and an optimization objective function for anti-carsickness, so as to obtain a control state equation;
• S3:
• During vehicle driving, establishing an active suspension robust control state equation having a wheelbase preview according to road information collected by front wheels and constraints like motion sickness index;
• S4:
• Based on the state equation obtained in S3, designing a finite frequency domain H∞ control algorithm for controlling an input delay, and establishing a linear matrix inequality for a system stability;
• S5:
• Introducing a genetic algorithm to find an optimal solution for parameters in the linear matrix inequality, and improving the control algorithm is by the genetic algorithm to find an optimal solution of a controller;
• S6:
• Based on the optimal solution obtained in S5, obtaining a closed-loop control system that satisfies the constraints of the suspension and the optimization objective function for anti-carsickness, so as to obtain a feedback gain of an output state, and further obtain the controller of the active suspension.