Advanced feedback control for optimal operation of mineral grinding process is usually based on the model predictive control (MPC) dynamic optimization. Since the MPC does not handle disturbances directly by controlle...Advanced feedback control for optimal operation of mineral grinding process is usually based on the model predictive control (MPC) dynamic optimization. Since the MPC does not handle disturbances directly by controller design, it cannot achieve satisfactory effects in controlling complex grinding processes in the presence of strong disturbances and large uncertainties. In this paper, an improved disturbance observer (DOB) based MPC advanced feedback control is proposed to control the multivariable grinding operation. The improved DOB is based on the optimal achievable H 2 performance and can deal with disturbance observation for the nonminimum-phase delay systems. In this DOB-MPC advanced feedback control, the higher-level optimizer computes the optimal operation points by maximize the profit function and passes them to the MPC level. The MPC acts as a presetting controller and is employed to generate proper pre-setpoint for the lower-level basic feedback control system. The DOB acts as a compensator and improves the operation performance by dynamically compensating the setpoints for the basic control system according to the observed various disturbances and plant uncertainties. Several simulations are performed to demonstrate the proposed control method for grinding process operation.展开更多
Through the inspiration of the reliability mechanism of human body, it is obvious that the bionic methods can be used as a reference for the optimized design of high power plasma inverter. On this basis, the high powe...Through the inspiration of the reliability mechanism of human body, it is obvious that the bionic methods can be used as a reference for the optimized design of high power plasma inverter. On this basis, the high power plasma inverter can be composed of several high power density intelligent power electric building blocks （ IPEBB ） , which are controlled by intelligent controller with the capability of self-management and can be regarded as the cell of the inverter. All of these IPEBB can be controllable and cooperative through distributed communication structure with digital control. This structure can be regarded as the nerve of the inverter. In each IPEBB, the advance mechanical feedback mechanism is adopted to suppress the magnetic bins, over-current protection and gate driving for the high power switches. A 75 kW Prototype constructed by IPEBBs was built to test the performance. Experimental results verify the feasibility of the proposed approach, and the bionic design methods can benefit the optimized design of high power plasma inverter.展开更多
基金Supported by the National Natural Science Foundation of China (61104084, 61290323)the Guangdong Education University-Industry Cooperation Projects (2010B090400410)
文摘Advanced feedback control for optimal operation of mineral grinding process is usually based on the model predictive control (MPC) dynamic optimization. Since the MPC does not handle disturbances directly by controller design, it cannot achieve satisfactory effects in controlling complex grinding processes in the presence of strong disturbances and large uncertainties. In this paper, an improved disturbance observer (DOB) based MPC advanced feedback control is proposed to control the multivariable grinding operation. The improved DOB is based on the optimal achievable H 2 performance and can deal with disturbance observation for the nonminimum-phase delay systems. In this DOB-MPC advanced feedback control, the higher-level optimizer computes the optimal operation points by maximize the profit function and passes them to the MPC level. The MPC acts as a presetting controller and is employed to generate proper pre-setpoint for the lower-level basic feedback control system. The DOB acts as a compensator and improves the operation performance by dynamically compensating the setpoints for the basic control system according to the observed various disturbances and plant uncertainties. Several simulations are performed to demonstrate the proposed control method for grinding process operation.
基金Supported by National Natural Science Foundation of China （50805051）, and Guangzhou Support Science and Technology Project （10A41071568）
文摘Through the inspiration of the reliability mechanism of human body, it is obvious that the bionic methods can be used as a reference for the optimized design of high power plasma inverter. On this basis, the high power plasma inverter can be composed of several high power density intelligent power electric building blocks （ IPEBB ） , which are controlled by intelligent controller with the capability of self-management and can be regarded as the cell of the inverter. All of these IPEBB can be controllable and cooperative through distributed communication structure with digital control. This structure can be regarded as the nerve of the inverter. In each IPEBB, the advance mechanical feedback mechanism is adopted to suppress the magnetic bins, over-current protection and gate driving for the high power switches. A 75 kW Prototype constructed by IPEBBs was built to test the performance. Experimental results verify the feasibility of the proposed approach, and the bionic design methods can benefit the optimized design of high power plasma inverter.
