计算机应用与软件
計算機應用與軟件
계산궤응용여연건
Computer Applications and Software
2015年
8期
102-105,113
,共5页
PID控制器%电液伺服系统%神经网络%局部最优粒子群优化算法
PID控製器%電液伺服繫統%神經網絡%跼部最優粒子群優化算法
PID공제기%전액사복계통%신경망락%국부최우입자군우화산법
PID controller%Electro-hydraulic servo system%NNs%Lbest PSO
为了实现电液伺服系统输出力的稳定控制，结合局部最优粒子群优化算法和神经网络模型，提出一种PID控制器设计方法。该方法将神经网络模型（ NNS）与PID控制器耦合，得到基于神经网络的PID控制器参数整定结构；再采用局部最优粒子群优化算法（ Lbest PSO）确定神经网络的权重，从而得到基于局部最优粒子群优化算法和神经网络的PID控制算法；最后将提出的PID控制算法用于控制虚拟的电液伺服加载系统，以进行仿真实验。仿真结果表明，由该PID控制器控制的电液伺服系统的输出力平稳地收敛于给定力，从而提高了系统的稳定性。
為瞭實現電液伺服繫統輸齣力的穩定控製，結閤跼部最優粒子群優化算法和神經網絡模型，提齣一種PID控製器設計方法。該方法將神經網絡模型（ NNS）與PID控製器耦閤，得到基于神經網絡的PID控製器參數整定結構；再採用跼部最優粒子群優化算法（ Lbest PSO）確定神經網絡的權重，從而得到基于跼部最優粒子群優化算法和神經網絡的PID控製算法；最後將提齣的PID控製算法用于控製虛擬的電液伺服加載繫統，以進行倣真實驗。倣真結果錶明，由該PID控製器控製的電液伺服繫統的輸齣力平穩地收斂于給定力，從而提高瞭繫統的穩定性。
위료실현전액사복계통수출력적은정공제，결합국부최우입자군우화산법화신경망락모형，제출일충PID공제기설계방법。해방법장신경망락모형（ NNS）여PID공제기우합，득도기우신경망락적PID공제기삼수정정결구；재채용국부최우입자군우화산법（ Lbest PSO）학정신경망락적권중，종이득도기우국부최우입자군우화산법화신경망락적PID공제산법；최후장제출적PID공제산법용우공제허의적전액사복가재계통，이진행방진실험。방진결과표명，유해PID공제기공제적전액사복계통적수출력평은지수렴우급정력，종이제고료계통적은정성。
In order to realise stable control on the output force of electro-hydraulic servo system, by combining the local best particle swarm optimisation ( Lbest PSO) with neural network model, we proposed a design method for PID controller.This method couples the neural networks ( NNs) model and PID controller and gets the NNs-based parameters tuning structure of PID controller.Then it uses the Lbest PSO to determine the weight of NNs, so that obtains the best PID control algorithm which is based on both Lbest PSO and NNs.Finally, we applied the proposed PID control algorithm in controlling the virtual electro-hydraulic servo loading system and made simulation experiment as well.Simulation results showed that the output force of electro-hydraulic servo system controlled by the proposed PID controller smoothly converged to the given force, so that the controller did improve the stability of the system.
