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Study die feedforward control unit

机译:学习模具前馈控制单元

摘要

PURPOSE:To simply generate a part corresponding to a subsystem of the learning type feedforward controller in a multi-input/output system. CONSTITUTION:The learning type feedforward controller 12 generates an input signal with respect to a feedback control system obtaining a deviation between an object value and an observed value of a controlled system 15 to control the controlled system and with respect to said controlled system. The learning type feedforward controller 12 executes the processing based on a linear state equation 'X'AX+Bv, y'CX' of the controlled system having an input v, state X and output y. Then the learning type feedforward controller 12 is made up of a matrix 16 obtaining the state X from an object value, a differentiation circuit 17 differentiating the state X to obtain the X', a multiplier 18 multiplying a product between the state X and a coefficient A, a subtractor 19 subtracting the AX from the differentiation value X' to obtain the Bv, and a neural network 20 multiplying a B-1 obtained through learning with the Bv to obtain the input v to the controlled system 15.
机译:目的:在多输入/输出系统中,简单地生成与学习型前馈控制器的子系统相对应的零件。构成:学习型前馈控制器12产生相对于反馈控制系统的输入信号,该反馈控制系统获得目标值和受控系统15的观测值之间的偏差以控制受控系统以及相对于所述受控系统。学习型前馈控制器12基于具有输入v,状态X和输出y的受控系统的线性状态方程“ X” AX + Bv,y“ CX”来执行处理。然后,学习型前馈控制器12由从目标值获得状态X的矩阵16,将状态X微分以获得X′的微分电路17,将状态X与系数之间的乘积相乘的乘法器18组成。 A,减法器19从微分值X'中减去AX以获得Bv,以及神经网络20将通过学习获得的B -1与Bv相乘以获得受控系统15的输入v。

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