摘要
大型风电叶片模具的合模或脱模,采用双缸铰接的液压翻转机构,其在大角度翻转过程中多转臂同步性能将直接影响翻转模具的寿命和叶片生产质量。针对该翻转设备可靠性、适应性和控制精度要求较高的特点,提出一种分布式的单神经元PID控制算法对机构转臂进行角位移同步控制,学习过程采用改进的LMS算法,并根据运动分析结果实现神经元输出增益的自动调整。建立AMESim机液混合模型,通过动态共享内存运行LabVIEW神经元子VI。联合仿真结果和实际应用均表明,该方法对非线性、时变的不均衡系统具有良好的控制精度。
The hydraulic turnover mechanism, using a dual eylinder hinge, is an advaneed blade mould elosing equipment of high technologies, mostly used for megawatt class wind blades above 40 meters, where more than three mechanisms are arranged along one blade mould at the same time. Obviously, there will be an unbalanced load on each mechanism due to the irregular shape of moulds and the inaccurate installing loeations. The synchronous performance of multiple rotating arms, during a large-angle rotating process, direetly influences the service life of blade moulds and the production quality of wind blades. For the turnover meehanism to enjoy high reliability, adaptability and control accuracy, a new eontrol method using the distributed single neuron PID algorithm is proposed for a synehronous control of angular displaeement of rotating arms. An improved LMS algorithm is used in the learning process, and the gain of the neuron output is adjusted automatically by the neuron based on the motion analysis results. Through rotating motion analysis with iterations, some basic parameters are determined, and a mechanical and hydraulic combined simulation model in AMESim is established, including a planar mechanical model. The LabVIEW subprogram of neuron PID could be run through dynamic shared memory simultaneously. Finally, the results of traditional PID and neuron PID are shown in the same plot. It is shown through simulation results as well as practical applications that this method enjoys a good control accuracy for nonlinear and time variant unbalanced systems.
出处
《科技导报》
CAS
CSCD
北大核心
2009年第23期53-56,共4页
Science & Technology Review
