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一种基于神经网络的执行器死区补偿方法

Neural network based dead-zone compensation method for actuator
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摘要 提出了采用神经网络逼近死区逆函数来补偿死区非线性的新方法。理论分析和仿真结果表明:采用该方法可以很好解决控制系统中非线性环节的影响,使系统转化为广义的线性系统。该方法对死区补偿有效,并对执行器非线性补偿具有指导意义。 A new method of dead-zone compensation using neural net to approximate dead-zone inverse is presented. Theory analysis and experiment result show that it can solve the negative effect caused by nonlinear sector in a control system, and convert the system into a generalized linear system. This method has a good effect on dead-zone compensation and it is a guideline for nonlinear compensation of an actuator.
机构地区 华北电力大学
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2006年第z3期1993-1994,共2页 Chinese Journal of Scientific Instrument
关键词 死区 神经网络 补偿 dead-zone neural net compensation
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