现代电子技术
現代電子技術
현대전자기술
Modern Electronics Technique
2015年
22期
122-125,130
,共5页
机器人%非线性控制%电路系统%小扰动
機器人%非線性控製%電路繫統%小擾動
궤기인%비선성공제%전로계통%소우동
robot%nonlinear control%circuit system%small disturbance
传统的小扰动机器人纵向非线性控制方法采用传感器通过敏感元件实现驱动器和执行系统联动控制,但控制系统容易出现非线性随机干扰失真.提出基于自校正模型参考自适应的小扰动机器人纵向非线性控制方法,利用改进后的控制算法进行电路系统设计.当小扰动机器人纵向非线性控制系统受到随机干扰作用时,根据自适应多通道加权控制律,机器人非线性控制系统的测量误差按指标随时调整控制器参数权重,给出合适的控制信号,在机器人的执行控制系统中设置一个初始权值,参考模型并联于被控系统,在伺服控制中采用最小方差法确定控制规律,实现机器人的纵向非线性控制,最后进行PCB电路板的设计.实验和调试结果表明,采用该系统能有效实现对机器人的非线性控制,控制品质和精度较高,收敛性和稳定性较好.
傳統的小擾動機器人縱嚮非線性控製方法採用傳感器通過敏感元件實現驅動器和執行繫統聯動控製,但控製繫統容易齣現非線性隨機榦擾失真.提齣基于自校正模型參攷自適應的小擾動機器人縱嚮非線性控製方法,利用改進後的控製算法進行電路繫統設計.噹小擾動機器人縱嚮非線性控製繫統受到隨機榦擾作用時,根據自適應多通道加權控製律,機器人非線性控製繫統的測量誤差按指標隨時調整控製器參數權重,給齣閤適的控製信號,在機器人的執行控製繫統中設置一箇初始權值,參攷模型併聯于被控繫統,在伺服控製中採用最小方差法確定控製規律,實現機器人的縱嚮非線性控製,最後進行PCB電路闆的設計.實驗和調試結果錶明,採用該繫統能有效實現對機器人的非線性控製,控製品質和精度較高,收斂性和穩定性較好.
전통적소우동궤기인종향비선성공제방법채용전감기통과민감원건실현구동기화집행계통련동공제,단공제계통용역출현비선성수궤간우실진.제출기우자교정모형삼고자괄응적소우동궤기인종향비선성공제방법,이용개진후적공제산법진행전로계통설계.당소우동궤기인종향비선성공제계통수도수궤간우작용시,근거자괄응다통도가권공제률,궤기인비선성공제계통적측량오차안지표수시조정공제기삼수권중,급출합괄적공제신호,재궤기인적집행공제계통중설치일개초시권치,삼고모형병련우피공계통,재사복공제중채용최소방차법학정공제규률,실현궤기인적종향비선성공제,최후진행PCB전로판적설계.실험화조시결과표명,채용해계통능유효실현대궤기인적비선성공제,공제품질화정도교고,수렴성화은정성교호.
Since the longitudinal nonlinear control methods of the traditional small disturbance robot adopt the sensors through the sensitive elements to realize the linkage control of the driver and execution system,the control system is prone to ap-pearance of the nonlinear random disturbance distortion. The longitudinal nonlinear control method of small disturbance robot based on the self-tuning model reference adaptive control is proposed,in which the improved control algorithm is utilized to de-sign the circuit system. When the longitudinal nonlinear control system of the small disturbance robot is suffered from the ran-dom disturbance effect,according to the weighting control law of the adaptive multi-channel,the parameter weight of the control-ler is adjusted momentarily with the measurement error of the robot nonlinear control system corresponding to the index weights, and the appropriate control signal is given. An initial weight value is set up in the execution control system of the robot,which is paralleled with the controlled system by referring the model. The minimum variance method is adopted in the servo control to determine the control law and achieve the longitudinal nonlinear control of the robot. PCB was finally designed. The experiment and debugging results show that the system can realize the nonlinear control to the robot effectively,has higher control quality and precision,and better convergence performance and stability.