Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents the design and practical hardware implementation of optimal neurocontrollers that replace the conventional automatic voltage regulator (AVR) and the turbine governor of turbogenerators on multimachine por systems. The neurocontroller design uses a porful technique of the adaptive critic design (ACD) family called dual heuristic programming (DHP). The DHP neurocontrollers' training and testing are implemented on the Innovative Integration M67 card consisting of the TMS320C6701 processor. The measured results show that the DHP neurocontrollers are robust and their performance does not degrade unlike the conventional controllers even when a por system stabilizer (PSS) is included, for changes in system operating conditions and configurations.  also shows that it is possible to design and implement optimal neurocontrollers for multiple turbogenerators in real time, without having to do continually online training of the neural networks, thus avoiding risks of instability.
['Ganesh K. Venayagamoorthy', 'Ronald G. Harley', 'Donald C. Wunsch']
I am writing a research paper on a idea Implementation of adaptive critic-based neurocontrollers for turbogenerators in a multimachine power system
[{"from": "human", "value": "I am writing a research paper on a idea Implementation of adaptive critic-based neurocontrollers for turbogenerators in a multimachine power system"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents the design and practical hardware implementation of optimal neurocontrollers that replace the conventional automatic voltage regulator (AVR) and the turbine governor of turbogenerators on multimachine por systems. The neurocontroller design uses a porful technique of the adaptive critic design (ACD) family called dual heuristic programming (DHP). The DHP neurocontrollers' training and testing are implemented on the Innovative Integration M67 card consisting of the TMS320C6701 processor. The measured results show that the DHP neurocontrollers are robust and their performance does not degrade unlike the conventional controllers even when a por system stabilizer (PSS) is included, for changes in system operating conditions and configurations.  also shows that it is possible to design and implement optimal neurocontrollers for multiple turbogenerators in real time, without having to do continually online training of the neural networks, thus avoiding risks of instability."}]