Considering the control difficulties of a hydro-viscous soft start(HVSS) device of a belt conveyor,a fuzzy-immune control algorithm was derived.A fuzzy-immune PID controller was designed based on immune feedback regul...Considering the control difficulties of a hydro-viscous soft start(HVSS) device of a belt conveyor,a fuzzy-immune control algorithm was derived.A fuzzy-immune PID controller was designed based on immune feedback regulations and adaptability of the fuzzy logic inference.Using MATLAB software,we simulated the controller and compared the HVSS device with a conventional PID controller and a fuzzy PID controller.The simulation results show that the controller is not only very reliable as a PID controller,robust and requires only a short adjustment time of fuzzy control,but possesses also capacity of global optimization of the immune algorithm.To verify our theoretical analysis and simulation,a HVSS test-bed was developed.The experimental results demonstrate that the fuzzy-immune PID controller managed to start the belt conveyor softly and to follow an S-shaped curve while the output speed correctly followed the preset speed with only small fluctuations in speed.展开更多
Automation of skill fuzzy control system is an important research aspect of fuzzy control fields. It's significant for those control instances consisted in production and people's daily life. But, how to control a s...Automation of skill fuzzy control system is an important research aspect of fuzzy control fields. It's significant for those control instances consisted in production and people's daily life. But, how to control a system not movement or behavior rules but only relied on movement parameters, that problem still had not be resolved. This paper proposes a new method used a genetic algorithm based on immune mechanism to learn the degree of membership, at same time, simplifying the corresponding movement equation; its efficiency will be indicated by an example.展开更多
For the Asynchronous Transfer Mode (ATM) networks with time-varying multiple time-delays, a more realistic model for the available bit rate (ABR) traffic class with explicit rate feedback is introduced. A fuzzy-im...For the Asynchronous Transfer Mode (ATM) networks with time-varying multiple time-delays, a more realistic model for the available bit rate (ABR) traffic class with explicit rate feedback is introduced. A fuzzy-immune controller is designed, which can adjust the rates of ABR on-line, overcome the bad effect caused by the saturation nonlinearity and satisfy the weighted fairness. Also, the sufficient condition that guarantees the stability of the closed-loop system with a fuzzy-immune controller is presented in theory for the first time. The algorithm exhibits good performance, and most importantly, has a solid theoretical foundation and can be implemented in practice easily. Simulation results show that the control system is rapid, adaptive, robust, and meanwhile, the quality of service (QoS) is guaranteed.展开更多
A fuzzy neural network controller for underwater vehicles has many parameters difficult to tune manually. To reduce the numerous work and subjective uncertainties in manual adjustments, a hybrid particle swarm optimiz...A fuzzy neural network controller for underwater vehicles has many parameters difficult to tune manually. To reduce the numerous work and subjective uncertainties in manual adjustments, a hybrid particle swarm optimization (HPSO) algorithm based on immune theory and nonlinear decreasing inertia weight (NDIW) strategy is proposed. Owing to the restraint factor and NDIW strategy, an HPSO algorithm can effectively prevent premature convergence and keep balance between global and local searching abilities. Meanwhile, the algorithm maintains the ability of handling multimodal and multidimensional problems. The HPSO algorithm has the fastest convergence velocity and finds the best solutions compared to GA, IGA, and basic PSO algorithm in simulation experiments. Experimental results on the AUV simulation platform show that HPSO-based controllers perform well and have strong abilities against current disturbance. It can thus be concluded that the proposed algorithm is feasible for application to AUVs.展开更多
Based on the hydraulic bending control system,the electrohydraulic servo pressure control simulation model is built.Taking into account of the inadequacy of P-type immune feedback controller,an improved fuzzy immune P...Based on the hydraulic bending control system,the electrohydraulic servo pressure control simulation model is built.Taking into account of the inadequacy of P-type immune feedback controller,an improved fuzzy immune PID controller is put forward.Drawing on immune feedback principle of biological immune system,the P-type immune feedback controller is connected with conventional PID controller in series and then in parallel with design fuzzy immune PID controller.The controller parameters can be adjusted on line by the rules of immune feedback controller and fuzzy controller.In order to gain the optimal parameters of the controller,the parameters of the controller are off-line optimized by the best multiple optimal model PSO algorithm.The simulation results indicate that the method has characteristics of small overshoot,short adjusting time and strong anti-interference ability and robustness.The quality of the strip shape can be further improved.展开更多
无刷直流电机(Brushless DC Motor,BLDCM)是一种多变量、非线性的控制系统,采用经典的PID控制难以得到满意的控制效果。本文提出了一种新型的基于模糊规则的免疫PID控制器用于无刷直流电机的转速控制中。这种免疫PID控制根据T细胞的生...无刷直流电机(Brushless DC Motor,BLDCM)是一种多变量、非线性的控制系统,采用经典的PID控制难以得到满意的控制效果。本文提出了一种新型的基于模糊规则的免疫PID控制器用于无刷直流电机的转速控制中。这种免疫PID控制根据T细胞的生物免疫反馈机理,包括决定应答速度的激活环节和决定稳定效果的抑制环节。用模糊规则来逼近其中的抑制环节,并与PID结合补偿其控制偏差。系统采用双闭环控制,内环为电流环,外环为速度环。Matlab仿真表明,系统超调量小,速度响应快,而且速度响应受电机参数变化影响小,各种外界干扰也得到了很好的抑制,具有较高的控制精度和较好的鲁棒性。通过以TI公司的TMS320F2812 DSP为基础进行的实验可以看出,较之传统PID控制,采用免疫PID控制在无刷直流电机的实时控制中取得了较好的实验效果,具有较好的动态和静态性能。展开更多
文摘Considering the control difficulties of a hydro-viscous soft start(HVSS) device of a belt conveyor,a fuzzy-immune control algorithm was derived.A fuzzy-immune PID controller was designed based on immune feedback regulations and adaptability of the fuzzy logic inference.Using MATLAB software,we simulated the controller and compared the HVSS device with a conventional PID controller and a fuzzy PID controller.The simulation results show that the controller is not only very reliable as a PID controller,robust and requires only a short adjustment time of fuzzy control,but possesses also capacity of global optimization of the immune algorithm.To verify our theoretical analysis and simulation,a HVSS test-bed was developed.The experimental results demonstrate that the fuzzy-immune PID controller managed to start the belt conveyor softly and to follow an S-shaped curve while the output speed correctly followed the preset speed with only small fluctuations in speed.
文摘Automation of skill fuzzy control system is an important research aspect of fuzzy control fields. It's significant for those control instances consisted in production and people's daily life. But, how to control a system not movement or behavior rules but only relied on movement parameters, that problem still had not be resolved. This paper proposes a new method used a genetic algorithm based on immune mechanism to learn the degree of membership, at same time, simplifying the corresponding movement equation; its efficiency will be indicated by an example.
基金the open subject for Key Laboratory of Process Industry Automation of Ministry of Education.
文摘For the Asynchronous Transfer Mode (ATM) networks with time-varying multiple time-delays, a more realistic model for the available bit rate (ABR) traffic class with explicit rate feedback is introduced. A fuzzy-immune controller is designed, which can adjust the rates of ABR on-line, overcome the bad effect caused by the saturation nonlinearity and satisfy the weighted fairness. Also, the sufficient condition that guarantees the stability of the closed-loop system with a fuzzy-immune controller is presented in theory for the first time. The algorithm exhibits good performance, and most importantly, has a solid theoretical foundation and can be implemented in practice easily. Simulation results show that the control system is rapid, adaptive, robust, and meanwhile, the quality of service (QoS) is guaranteed.
基金the National Natural Science Foundation of China (No.50579007)
文摘A fuzzy neural network controller for underwater vehicles has many parameters difficult to tune manually. To reduce the numerous work and subjective uncertainties in manual adjustments, a hybrid particle swarm optimization (HPSO) algorithm based on immune theory and nonlinear decreasing inertia weight (NDIW) strategy is proposed. Owing to the restraint factor and NDIW strategy, an HPSO algorithm can effectively prevent premature convergence and keep balance between global and local searching abilities. Meanwhile, the algorithm maintains the ability of handling multimodal and multidimensional problems. The HPSO algorithm has the fastest convergence velocity and finds the best solutions compared to GA, IGA, and basic PSO algorithm in simulation experiments. Experimental results on the AUV simulation platform show that HPSO-based controllers perform well and have strong abilities against current disturbance. It can thus be concluded that the proposed algorithm is feasible for application to AUVs.
基金Item Sponsored by National Natural Science Foundation of China(50534020)National Key Technology Research and Development Program in 11th Five-Year Plan of China(2007BAF02B12)
文摘Based on the hydraulic bending control system,the electrohydraulic servo pressure control simulation model is built.Taking into account of the inadequacy of P-type immune feedback controller,an improved fuzzy immune PID controller is put forward.Drawing on immune feedback principle of biological immune system,the P-type immune feedback controller is connected with conventional PID controller in series and then in parallel with design fuzzy immune PID controller.The controller parameters can be adjusted on line by the rules of immune feedback controller and fuzzy controller.In order to gain the optimal parameters of the controller,the parameters of the controller are off-line optimized by the best multiple optimal model PSO algorithm.The simulation results indicate that the method has characteristics of small overshoot,short adjusting time and strong anti-interference ability and robustness.The quality of the strip shape can be further improved.
基金Supported by the National Natural Science Foundation of China(20776042) the National High Technology Research and Development Program of China(2007AA04Z164)+3 种基金 the Doctoral Fund of Ministry of Education of China(20090074110005) the Program for New Century Excellent Talents in University(NCET-09-0346) the"Shu Guang"Project(095G29) Shanghai Leading Academic Discipline Project(B504)
文摘考虑到一个基因算法( GA )的表演被许多因素和他们的关系影响,这复杂、难被描述,一个新奇模糊底的适应基因算法( FAGA )把一个新人工的免疫系统与模糊系统理论相结合由于模糊理论能描述高复杂的问题的事实被建议。在 FAGA,有免疫力的理论被用来改进选择操作的表演。并且,转线路概率和变化概率被模糊推论动态地调整,它根据在算法表演和控制参数之间的启发式的模糊关系被开发。实验证明 FAGA 能高效地克服 GA 的缺点,即,早熟并且比二典型模糊气体减缓,并且获得更好的结果。最后, FAGA 被用于反应动力学模型的参数评价,令人满意的结果被获得。
文摘无刷直流电机(Brushless DC Motor,BLDCM)是一种多变量、非线性的控制系统,采用经典的PID控制难以得到满意的控制效果。本文提出了一种新型的基于模糊规则的免疫PID控制器用于无刷直流电机的转速控制中。这种免疫PID控制根据T细胞的生物免疫反馈机理,包括决定应答速度的激活环节和决定稳定效果的抑制环节。用模糊规则来逼近其中的抑制环节,并与PID结合补偿其控制偏差。系统采用双闭环控制,内环为电流环,外环为速度环。Matlab仿真表明,系统超调量小,速度响应快,而且速度响应受电机参数变化影响小,各种外界干扰也得到了很好的抑制,具有较高的控制精度和较好的鲁棒性。通过以TI公司的TMS320F2812 DSP为基础进行的实验可以看出,较之传统PID控制,采用免疫PID控制在无刷直流电机的实时控制中取得了较好的实验效果,具有较好的动态和静态性能。