Particle Swarm-Optimized Active Anti-disturbance Control of Automobile Sunroof
In order to solve the problem of delayed response when the motor controls the opening and closing of sunroof after the relay is closed,the internal uncertainty factor and the external environment interference are considered as a com-prehensive influencing factor.Therefore,an modified active anti-disturbance control method based on particle swarm opti-mization is proposed to improve the response performance of vehicle sunroofs.First a new cfal function is designed to ad-dress its unsmoothness at the inflection point and the consequently resultant ease of jitter and instability of the control sys-tem.Then based on this new nonlinear cfal function,an improved extended state observer is constructed to achieve real-time estimation of skylight disturbance.Finally by using particle swarm algorithm,the internal parameters are optimized and the control experiment of automobile sunroof system is carried out.Comparative analysis on the output response curve with the conventional ADRC control verifies the superiority and feasibility of the proposed method in improving the re-sponse performance of sunroofs.
automobile sunroofactive anti-disturbance controlparticle swarm optimizationimproved extended state observer
万方数据
维普
